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50 results for Big Data Engineer jobs

Data Engineer

Beverly Hills, CA
remote
Temporary / Contract
50 - 53 USD / Hourly
We are looking for a Data Engineer to support a long-term contract assignment in Beverly Hills, California. This position focuses on preparing, validating, and organizing access-related data to help deliver reliable site deployments and ensure accurate user provisioning across connected systems. The role works closely with Facilities, Identity, Security, and vendor teams to improve data quality, support implementation activities, and maintain consistent rollout processes across locations. Responsibilities: • Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin. • Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment. • Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems. • Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy. • Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions. • Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards. • Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows. • Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments. • Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations.
2026-06-16T00:00:00Z

Data Engineer

San Francisco, CA
remote
Temporary / Contract
40 - 45 USD / Hourly
We are looking for a Data Engineer/Analyst to join a B2B technology team in San Francisco, California. This role focuses on turning complex business questions into clear reporting, actionable metrics, and effective dashboard solutions that support multiple teams. The ideal candidate is comfortable working with large datasets, building scalable Tableau reporting, and querying data directly in Databricks. This opportunity is well suited for someone who can balance a steady flow of requests while clearly communicating insights to cross-functional stakeholders. This is a 3-6 month contract opportunity. Responsibilities:• Oversee and prioritize a continuous pipeline of analytics requests coming from different business groups to ensure timely delivery of insights.• Investigate reporting issues, resolve dashboard errors, and create new Tableau dashboards designed for long-term scalability and usability.• Convert loosely defined business needs into measurable KPIs, structured analysis, and intuitive data visualizations.• Write and refine SQL queries against the Databricks data lake to retrieve accurate data for reporting and analysis.• Prepare large datasets by extracting, transforming, merging, and summarizing information from multiple sources.• Improve query efficiency and enhance data structures to support faster, more reliable dashboard performance.• Develop reporting focused on operational metrics such as performance trends, transfer activity, and response or resolution measurements.• Design visual outputs such as trend analyses, comparison views, and region-based reporting to help stakeholders interpret results quickly.• Present dashboards to partners and explain the methodology, assumptions, and logic behind the analysis in a clear manner.
2026-05-21T00:00:00Z

Data Engineer I

Washington, DC
remote
Temporary / Contract
44 - 47 USD / Hourly
Data Automation Engineer – AI / AWS / AzureWork Arrangement: RemoteClearance Requirement: Ability to obtain Public Trust Position OverviewWe are seeking a highly skilled Data Automation Engineer to design and implement advanced, AI-driven automation solutions across hybrid AWS and Azure environments. This role is focused on building scalable data pipelines, integrating modern cloud services, and leveraging Generative AI technologies to enhance enterprise analytics and operational workflows.The ideal candidate is a hands-on engineer with strong expertise in data engineering, cloud platforms, and automation, combined with the ability to innovate and solve complex technical challenges. This role provides the opportunity to work on mission-critical systems, supporting large-scale data processing, reporting, and AI-enabled applications. Key ResponsibilitiesData Engineering & Pipeline Development<ul><li>Design, build, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, EMR, DynamoDB)</li><li>Develop and optimize ETL/ELT workflows across hybrid AWS and Azure environments</li><li>Integrate structured, unstructured, and streaming data across enterprise systems</li></ul>AI & Automation Engineering<ul><li>Leverage Generative AI frameworks (AWS Bedrock, Azure OpenAI, LangChain, Hugging Face) to build intelligent automation</li><li>Implement solutions for embeddings, vector generation, and RAG workflows</li><li>Develop AI-driven tools for data quality, anomaly detection, and pipeline optimization</li><li>Build AI-powered copilots for monitoring, troubleshooting, and workflow automation</li></ul>Data Platform Integration & Optimization<ul><li>Engineer real-time and batch ingestion pipelines using Spark, Kafka, and Flume</li><li>Integrate enterprise platforms and CRM data into data pipelines for analytics and reporting</li><li>Optimize SQL performance through stored procedures, indexing, and query tuning</li></ul>Cloud & DevOps Practices<ul><li>Implement CI/CD pipelines using tools such as GitHub, Jenkins, or Azure DevOps</li><li>Develop infrastructure solutions using Infrastructure-as-Code (IaC)</li><li>Ensure cloud security through IAM, RBAC, encryption, and network isolation</li></ul>Collaboration & Delivery<ul><li>Partner with cross-functional teams to gather requirements and deliver solutions</li><li>Support Agile delivery processes and continuous improvement initiatives</li><li>Provide technical troubleshooting and performance optimization across data systems</li></ul>
2026-06-15T00:00:00Z

Data Engineer I

Houston, TX
remote
Temporary / Contract
39 - 44 USD / Hourly
Data Automation Engineer – Azure / AI / Data PlatformsClearance Requirement: ability to obtain Public Trust Position OverviewWe are seeking a highly motivated Data Automation Engineer to design and implement modern, AI‑driven data solutions within a Microsoft Azure-based analytics ecosystem. This role focuses on building scalable pipelines, automating workflows, and integrating advanced analytics and AI capabilities across enterprise data platforms.The ideal candidate brings strong experience in Azure data services, ETL pipeline development, and automation, along with a delivery-focused mindset and the ability to translate complex business requirements into technical solutions. This role supports mission-critical environments and requires eligibility for a Public Trust clearance. Key ResponsibilitiesData Engineering & Pipeline Development<ul><li>Design and implement data pipelines using Azure Data Factory, Synapse, Spark, SQL, and Python</li><li>Build and maintain ETL/ELT workflows across structured and unstructured data sources</li><li>Support data ingestion, transformation, and integration for enterprise analytics platforms</li></ul>Automation & AI Integration<ul><li>Develop automation solutions to improve efficiency, scalability, and reliability of data workflows</li><li>Research and implement AI/ML and Generative AI tools to enhance data processing and insights</li><li>Eliminate bottlenecks through intelligent automation and workflow optimization</li></ul>Data Quality, Governance & Performance<ul><li>Implement data quality, integrity, and metadata management practices</li><li>Monitor and troubleshoot pipelines to ensure high availability and performance</li><li>Perform performance testing, tuning (query optimization, indexing), and pipeline benchmarking</li></ul>Collaboration & Delivery<ul><li>Partner with engineering, DevOps, and business stakeholders to develop solutions</li><li>Participate in Agile/DevOps processes and continuous delivery cycles</li><li>Document pipeline performance, test results, and system improvements</li></ul>
2026-06-15T00:00:00Z

Senior Data Engineer

Boston, MA
remote
Permanent / Full Time
130000 - 160000 USD / Yearly
We are looking for a Senior Data Engineer to join a growing data team supporting an innovative healthcare-focused program in Boston, Massachusetts. In this role, you will design and optimize data solutions that transform complex patient, medical, financial, and marketing information into reliable assets for analytics and leadership reporting. This position offers the opportunity to work remotely while partnering closely with technical and business stakeholders to build scalable data pipelines in a modern Azure environment. Responsibilities: • Design, build, and maintain robust data pipelines that ingest, transform, and organize information from multiple sources for downstream analytics use. • Develop scalable data engineering solutions using Databricks, Azure Data Factory, SQL, and Python within a cloud-based architecture. • Integrate and prepare diverse datasets, including patient-related, clinical, financial, and marketing data, to support reporting and business insights. • Collaborate with business intelligence partners to deliver clean, dependable datasets that power dashboards, reporting, and decision-making for leadership teams. • Write efficient SQL and transformation logic to solve complex data challenges and improve the performance and reliability of existing workflows. • Partner with architects and cross-functional stakeholders to define data models, engineering standards, and best practices across the platform. • Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen data quality, accuracy, and operational stability. • Contribute as a senior member of a small engineering team by sharing technical guidance, communicating clearly, and supporting long-term platform growth.
2026-06-03T00:00:00Z

Enterprise Data Analytics Engineer

Boston, MA
remote
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Analytics Engineer to help strengthen and scale analytics capabilities supporting participant and healthcare-related data initiatives in Boston, Massachusetts. This role is ideal for an early-career data specialist who enjoys building reliable datasets, improving reporting foundations, and partnering with analysts and business teams to turn complex information into actionable insight. You will work in a modern cloud data environment and contribute to data products that support performance measurement, operational visibility, and informed decision-making. Responsibilities:• Build and support data pipelines, curated datasets, and analytics-ready data structures used for reporting and performance tracking.• Clean, join, and reshape data from multiple sources to produce dependable outputs for dashboards, KPI measurement, and deeper analysis.• Partner with analysts, engineers, and business stakeholders to translate reporting needs into practical data models and scalable solutions.• Investigate pipeline failures and data inconsistencies, then implement fixes that improve reliability, accuracy, and timeliness.• Maintain clear documentation for data definitions, model logic, source mapping, and lineage to improve transparency across the analytics function.• Create recurring and on-demand analyses that help teams monitor trends, evaluate outcomes, and support current business priorities.• Contribute to the upkeep and optimization of analytics workflows within tools such as Databricks, Microsoft Fabric, and related cloud platforms.• Provide data support to operational teams and assist with information requests tied to cross-functional initiatives or external-facing needs.
2026-06-03T00:00:00Z

Data Engineer III

San Ramon, CA
remote
Permanent / Full Time
104000 - 153000 USD / Yearly
Robert Half, one of FORTUNE’s World’s Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation department. Solution Design & Technical Leadership<ul><li>Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)</li><li>Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews</li><li>Design and build data foundations that enable AI/ML capabilities — feature stores, embedding pipelines, vector search indexes, and model training datasets</li><li>Align data engineering solutions with business strategy, including support for Agentic AI workloads</li></ul>Data Infrastructure & Platform<ul><li>Own health, scalability, and modernization of data infrastructure with Databricks as the strategic platform — including workload migration, compute optimization, and Unity Catalog adoption</li><li>Optimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAs</li><li>Build data infrastructure supporting Agentic AI systems — real-time data access layers, context retrieval pipelines, and agent-accessible data services</li><li>Collaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure – Mlflow registries, feature stores, and agent orchestration layers</li><li>Provide consultation to Senior Leadership on complex projects and drive continuous improvement initiatives</li></ul>Data Quality, Governance & Collaboration<ul><li>Champion data governance at all layers for data, models, and AI assets</li><li>Implement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise data</li><li>Serve as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship</li></ul>
2026-06-11T00:00:00Z

Senior Data Scientist

Boston, MA
remote
Permanent / Full Time
150000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Scientist to join our dynamic team in Boston, Massachusetts. In this role, you will leverage your expertise in statistical modeling, machine learning, and cloud-based analytics to drive impactful decisions and solutions. The ideal candidate will bring a strong technical background, a passion for working with regulated data, and a commitment to ethical AI practices. Responsibilities: • Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems. • Monitor and evaluate the performance of AI models, ensuring reliability, fairness, and compliance with ethical standards. • Collaborate with engineering and product teams to translate data-driven insights into actionable strategies. • Utilize cloud-based tools such as AWS SageMaker and Redshift to design and deploy scalable analytics solutions. • Handle sensitive healthcare or clinical trial datasets while adhering to strict data privacy and security regulations. • Conduct exploratory data analysis and create visualizations to communicate findings effectively. • Build and optimize ETL pipelines for efficient data transformation and integration. • Apply Bayesian statistics and time-series forecasting techniques to improve predictive accuracy. • Maintain comprehensive documentation of data science workflows and processes. • Stay updated on industry trends and advancements to continuously enhance methodologies and tools.
2026-06-09T00:00:00Z

Security Data Engineer

Costa Mesa, CA
remote
Temporary to Hire
60 - 65 USD / Hourly
We are looking for a Security Data Engineer to join our team in Costa Mesa, California in a contract capacity with the potential for a permanent role. This position is focused on advancing a well-established data lake environment by strengthening the ingestion layer, expanding connectivity to additional systems, and ensuring reliable movement of security-relevant data. The person in this role will take ownership of pipeline operations, partner with internal system stakeholders to enable access, and help keep incoming data accurate, timely, and usable for downstream needs. Responsibilities: • Take ownership of the data ingestion layer for an existing data lake, ensuring steady performance and dependable delivery of incoming datasets. • Reduce a defined backlog of pipeline work during the first 90 days by building and activating prioritized ingestion workflows. • Assume responsibility for pipeline components transitioned from the lead engineer and continue their operational support without disrupting established foundations. • Support and improve current ETL processes by monitoring health, resolving failures, and extending coverage where needed. • Integrate new source systems, including platforms such as Rippling and Workday, into the broader data ecosystem. • Coordinate with internal application and system owners to identify data sources, secure appropriate access, and obtain logs or source records required for ingestion. • Apply data cleaning and analysis practices to improve data quality and maintain consistency across inbound datasets. • Contribute to infrastructure and deployment workflows using AWS, AWS CDK, Infrastructure as Code, and CI/CD practices to support scalable pipeline operations.
2026-06-17T00:00:00Z

Data Analyst

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Analyst to support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting. Responsibilities: • Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement. • Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms. • Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions. • Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks. • Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting. • Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions. • Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies. • Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards. • Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
2026-06-11T00:00:00Z

Data Analyst

Farmington, CT
remote
Temporary / Contract
35 - 45 USD / Hourly
Responsibilities<ul><li>The Procurement Analyst performs a variety of duties in support of the product and vendor acquisition process for the Firm</li><li>This position works with suppliers to negotiate prices, terms, prepares and processes purchase orders, monitors inventory, assists in managing vendor contracts, and helps with sourcing third-party vendors</li><li>The Procurement Analyst works under general supervision and relies on experience and judgment to plan and accomplish goals</li><li>Manage, track, negotiate and complete ordering process for various IT hardware, telecom, services, and other general purchasing requests as needed</li><li>Submit and track invoices for payment into payables system and for firm purchase credit card</li><li>Work closely with IT hardware & telecom managers to provide vendor analysis, review, and technical support</li><li>Use HelpDesk application to close tickets and answer IT hardware and telecom procurement inquiries</li><li>Utilize and administer purchasing system to process IT hardware & telecom renewals, new purchases, and other tasks as required by requestors</li><li>Assist with vendor review process, Request for Proposals (RFPs), Diversity & Inclusion initiatives, production and distribution of reports, and to communicate statuses to stakeholders</li><li>Analyze supply expenditures to help identify cost saving measures and initiatives</li><li>Maintain accurate records, files, and agreements using filing and contract applications</li><li>Assist users with annual budget process by providing past procurement information as needed</li><li>Ensure procurement activities are aligned with the department’s purchasing strategy and budgets</li><li>While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear</li><li>Employee must occasionally lift up to twenty (20) pounds</li></ul>
2026-06-16T00:00:00Z

Data Analyst

New York, NY
remote
Temporary / Contract
51.4615 - 59.587 USD / Hourly
We are looking for a Data Analyst to support a non-profit organization through careful analysis, issue tracking, and data-driven decision-making. This Long-term Contract position is ideal for someone who can work across ticketing workflows, service desk activity, and business systems to improve visibility and operational efficiency. The role calls for someone who can translate data into practical insights while collaborating with technical and administrative stakeholders. Responsibilities: • Analyze operational and service-related data to identify patterns, trends, and opportunities for process improvement. • Monitor and evaluate ticketing system activity, producing reports that help teams prioritize issues and measure performance. • Review service desk tickets to uncover recurring problems, support root-cause analysis, and recommend corrective actions. • Partner with cross-functional teams to gather reporting needs and deliver accurate, timely insights for business decisions. • Maintain and interpret data connected to networking and device management environments to support service quality. • Assist with Salesforce administration-related reporting, data validation, and ongoing data accuracy efforts. • Create dashboards, summaries, and ad hoc analyses that clearly communicate findings to technical and non-technical audiences. • Support data-related activities tied to system or process changes when needed, ensuring documentation and reporting remain consistent.
2026-06-08T00:00:00Z

Data Scientist II

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale. You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment. Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.
2026-05-21T00:00:00Z

Data Analytics Consultant

Wyomissing, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Analytics Consultant to lead the design and delivery of modern data engineering and business intelligence solutions for client engagements in Pennsylvania. This Long-term Contract position is ideal for a client-facing consultant who can combine technical architecture expertise with strong communication and consulting skills to guide data strategy, platform design, and analytics adoption. The role will partner with stakeholders across business and technical teams to create scalable data environments, translate complex requirements into practical solutions, and support the continued advancement of enterprise analytics capabilities. Responsibilities: • Act as a trusted advisor to clients by evaluating technical options and recommending data and analytics solutions aligned with business goals. • Architect, build, and launch scalable data platforms across cloud and on-premises environments using modern engineering and business intelligence technologies. • Lead discovery meetings, stakeholder workshops, and solution presentations to uncover needs and define effective analytics strategies. • Establish frameworks for data ingestion, transformation, storage, governance, and reporting to support reliable decision-making. • Develop implementation roadmaps and delivery plans for data initiatives, ensuring technical solutions support long-term business priorities. • Assess current data ecosystems, identify improvement opportunities, and produce clear architectural documentation and technical recommendations. • Engage with audiences ranging from executive leadership to delivery teams to explain solution choices, tradeoffs, and expected business impact. • Contribute across multiple phases of delivery, including consulting, architecture, hands-on development, and pre-sales support when needed. • Provide deep technical expertise in analytics, data integration, visualization, and modern lakehouse or warehouse design, including security considerations such as row-level access. • Use tools such as Microsoft Fabric, Azure, Python, Spark, Hadoop, Kafka, SQL, and ETL frameworks to build high-quality analytics and data processing solutions.
2026-06-11T00:00:00Z

Data Analytics Consultant

Wyomissing, PA
remote
Permanent / Full Time
120000 - 160000 USD / Yearly
We are looking for a Data Analytics Consultant to help organizations shape and deliver modern data solutions that turn complex information into actionable business insight. This role partners with stakeholders across technical and executive teams to define data strategies, recommend scalable platforms, and guide implementation across cloud-based environments. Based in Wyomissing, Pennsylvania, the position combines advisory expertise with hands-on architecture and analytics leadership to support impactful client outcomes. Responsibilities: • Partner with clients as a technical advisor, helping them evaluate options and make informed decisions on analytics and data platform solutions. • Architect and deliver data environments across public and private cloud ecosystems, ensuring solutions are scalable, secure, and aligned with business goals. • Lead discussions on data governance, quality standards, architecture direction, and long-term analytics strategy for client organizations. • Facilitate discovery meetings, workshops, and executive presentations to gather requirements and translate business needs into practical technical plans. • Explain emerging data technologies and analytics capabilities in a way that highlights measurable value for both business and technical audiences. • Establish effective approaches for collecting, storing, transforming, and analyzing data to support reporting, operational insight, and decision-making. • Create implementation roadmaps and phased delivery plans for analytics initiatives, including assessments of current-state environments and future-state architecture. • Review existing data solutions, identify improvement opportunities, and produce clear documentation that supports design decisions and project execution. • Collaborate with stakeholders ranging from senior executives to engineering teams while contributing across multiple phases of the project lifecycle, including pre-sales support. • Apply analytics expertise to use cases involving risk monitoring, fraud-related analysis, and investigative data interpretation where business needs require it.
2026-05-15T00:00:00Z

Senior Database Engineer

Salt Lake City, UT
remote
Temporary to Hire
63 - 72 USD / Hourly
We are looking for a Senior Database Engineer to support and improve critical database platforms that power large-scale applications in Utah. This contract-to-permanent position is ideal for a hands-on, detail-oriented candidate who can strengthen reliability, performance, and security across cloud-based and distributed database environments. You will work closely with engineering and infrastructure teams to keep production systems stable, scalable, and well-governed while helping guide operational best practices. Responsibilities: • Oversee daily administration of production database platforms such as Couchbase, PostgreSQL, DynamoDB, DocumentDB, Cosmos DB, and Snowflake to ensure strong availability and performance. • Manage clustered database environments, including replication health, configuration tuning, patching, version upgrades, and issue resolution across cloud and hybrid infrastructure. • Improve database efficiency by analyzing execution behavior, refining indexing approaches, and tuning queries for high-volume workloads. • Develop and maintain backup, recovery, and disaster preparedness processes, including retention planning, restore validation, and cross-region resilience testing. • Take the lead during database-related incidents by troubleshooting service disruptions, identifying root causes, and driving timely restoration of critical systems. • Build and enhance monitoring and alerting solutions using platforms such as Datadog, CloudWatch, Azure Monitor, and native database tools. • Automate recurring operational tasks with scripting and infrastructure tooling to increase consistency, reduce manual effort, and support scalable administration. • Drive database upgrade and migration efforts with careful planning to minimize downtime and maintain service continuity. • Create and maintain operational documentation, including runbooks, standard procedures, and technical decision records to support ongoing database operations. • Partner with security and compliance stakeholders to enforce access controls, encryption, credential management, and data protection standards across database environments.
2026-06-16T00:00:00Z

Sr. Python Data Engineer

Boston, MA
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
Data Engineer (Python / AWS)Location: Remote (Northeast / Greater Boston area preferred)Type: Full-TimeLevel: Mid-to-Senior Individual ContributorAbout the RoleWe are looking for a strong individual contributor who excels in the Python data ecosystem and enjoys building reliable, scalable data pipelines. This role sits within a data engineering group responsible for integrating large volumes of data from external partners and transforming it into usable datasets for internal teams. You’ll work with modern cloud tools while also helping our team gradually transition away from a legacy platform.This position is ideal for someone who wants to stay hands-on, focus on technical execution, and remain in an IC role for the next several years. We’re not looking for someone who is aiming to move immediately into architecture or leadership.This team is fully distributed, and although candidates in the Boston area can go into the office, the rest of the group is remote. Anyone local may occasionally sit with other teams when on site. What You’ll Do<ul><li>Build and maintain ETL pipelines that ingest, clean, and aggregate data received from external vendors and large enterprise partners.</li><li>Develop Python‑based data processing workflows deployed on AWS cloud services.</li><li>Work with tools such as AWS Glue, Airflow, dbt, and PySpark to support data transformations and pipeline orchestration.</li><li>Help modernize existing workflows and assist in the gradual migration away from a legacy data system.</li><li>Collaborate with internal stakeholders to understand data needs, define requirements, and ensure reliable integration of partner data feeds.</li><li>Troubleshoot pipeline issues, optimize performance, and improve overall system stability.</li><li>Contribute to best practices around code quality, testing, documentation, and data governance.</li></ul>
2026-06-09T00:00:00Z

Business Intelligence and Data Analyst

Boston, MA
remote
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for a Business Intelligence and Data Analyst to join a collaborative analytics team supporting enterprise performance initiatives in Boston, Massachusetts. In this role, you will work closely with data engineering and business stakeholders to turn complex operational information into clear, actionable reporting. This position is ideal for an early-career analyst who enjoys building dashboards, improving reporting accuracy, and helping leaders make informed decisions through data. Responsibilities: • Create and refine Power BI dashboards and recurring reports that give teams clear visibility into performance trends and operational results. • Analyze large and varied datasets to uncover meaningful patterns, explain performance drivers, and support business decision-making. • Partner with data engineers and cross-functional teams to gather reporting needs, validate data sources, and improve the reliability of analytics outputs. • Maintain, update, and enhance existing business intelligence solutions to ensure reporting remains accurate, relevant, and easy to use. • Deliver both scheduled reporting and ad hoc analysis to help leadership monitor priorities and respond to emerging business questions. • Develop and track key performance indicators that measure outcomes across departments and highlight opportunities for improvement. • Present findings in a concise, business-friendly way so that both technical and non-technical stakeholders can act on the insights provided. • Support broader analytics adoption by helping users understand reporting tools, metrics, and dashboard functionality. • Contribute to technical assessments and problem-solving efforts related to reporting processes, data quality, and dashboard performance.
2026-06-03T00:00:00Z

Senior Databricks Engineer

Cincinnati, OH
remote
Temporary / Contract
76.95 - 89.1 USD / Hourly
We are looking for an experienced Senior Databricks Engineer to support enterprise data initiatives. This Long-term Contract position will focus on building and enhancing scalable data solutions, including extracting data from ServiceNow and structuring it for downstream ARDoc consumption within a broader enterprise architecture program. The role will partner with engineering, analytics, and platform teams to deliver reliable, governed, and high-performing data pipelines on Databricks. Responsibilities:• Develop and maintain robust data pipelines in Databricks using Apache Spark to support enterprise reporting and analytical use cases.• Extract and transform data from ServiceNow, then create and manage structured tables that supply ARDoc as part of a larger architecture initiative.• Design layered data models using Delta Lake practices to improve scalability, data usability, and long-term maintainability.• Configure and manage Databricks jobs, workflows, and compute resources to improve processing efficiency and platform stability.• Investigate performance issues across Spark workloads and implement tuning strategies that improve speed, reliability, and cost control.• Establish data governance practices through cataloging, lineage visibility, and secure access controls within the Databricks environment.• Work closely with data scientists, analysts, and platform teams to deploy production-ready data assets and support advanced analytics needs.• Provide technical guidance to other engineers by promoting engineering standards, reviewing designs, and sharing platform best practices.
2026-06-17T00:00:00Z

Senior Machine Learning Engineer

Boston, MA
remote
Permanent / Full Time
180000 - 200000 USD / Yearly
We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering. Responsibilities: • Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards. • Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving. • Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn. • Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools. • Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment. • Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems. • Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models. • Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor. • Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives. • Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
2026-06-09T00:00:00Z

DevOps Engineer

Eden Prairie, MN
remote
Permanent / Full Time
140000 - 160000 USD / Yearly
Position: DevOps Engineer (Mobile-First)Location: Remote - Full Time | Direct HireSalary: $140,000 - 160,000 base annual salary + bonus + excellent benefits*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***DevOps EngineerWe’re building something entirely new—and we’re doing it the right way.This is a rare opportunity to join a brand-new digital transformation team inside a well‑established, financially strong enterprise. After decades of success with a traditional operating model, the organization is launching a remote‑first, mobile‑first digital platform designed to unify multiple services into a seamless consumer experience.The product is 0→1, greenfield, and pre‑launch, with executive sponsorship and long‑term funding already secured. The pace, ownership, and innovation feel like a startup—without startup risk.Why This Role Is Exciting• Startup‑like environment inside a proven, stable enterprise• New digital department with new leadership, tooling, and architecture• True greenfield DevOps work—no legacy rebuilds• Direct impact on a high‑visibility, consumer‑facing platformWhat You’ll Work On• Design, build, and support cloud infrastructure for a mobile‑first platform• Build and maintain CI/CD pipelines for modern microservices• Support containerized workloads using Docker and Kubernetes• Implement Infrastructure as Code (IaC) for consistent environments• Improve deployment reliability, scalability, and developer experienceTechnical Environment• Cloud: AWS (primary for the digital platform), cloud‑flexible architecture• Containers: Docker, Kubernetes• CI/CD: GitHub Actions, Jenkins• IaC: Terraform, CloudFormation• Observability: Prometheus, Grafana, CloudWatch, Datadog / ELK• Security: IAM, RBAC, secrets management• Scripting: Python, Bash• Application Context: Flutter (web,mobile), NestJS, Postgres, APIWhat We’re Looking For• 3–6 years of experience in DevOps, Cloud Engineering, or SRE• Hands‑on AWS infrastructure experience• Working knowledge of Kubernetes and containerized systems• Experience building or supporting CI/CD pipelines• Familiarity with Infrastructure as Code• Strong collaboration skills and an ownership mindset• Comfortable operating in ambiguity and building from scratchWhat Success Looks Like• Faster, safer deployments enabled by your automation• Scalable, observable, and secure environments• DevOps seen as a partner—not a bottleneck *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-06-03T00:00:00Z

Cloud Engineer

Norristown, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Cloud Engineer to join our team in King of Prussia, Pennsylvania. In this long-term contract role, you will play a key part in building and securing a new Azure cloud environment from the ground up. This position offers a unique opportunity to design and implement robust security measures, ensuring a strong foundation for organizational compliance and performance. Responsibilities: • Deploy and configure Microsoft Defender for Cloud across multiple Azure subscriptions to enhance security monitoring and threat protection. • Develop and implement Azure Policy definitions and assignments to meet organizational and regulatory standards. • Design a comprehensive Log Analytics workspace architecture and configure diagnostic settings for consistent data collection. • Create and enforce Conditional Access policies within the Azure Active Directory environment. • Set up and manage network security groups, flow logs, and network monitoring tools to safeguard cloud-based resources. • Provide technical support for compliance controls to meet organizational and regulatory requirements. • Prepare detailed security architecture documentation, including policy baselines and operational procedures, to guide ongoing team operations.
2026-05-28T00:00:00Z

Cloud Engineer

Norristown, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Cloud Engineer to join our team in King of Prussia, Pennsylvania. In this long-term contract role, you will design and implement Azure infrastructure solutions, working with established Infrastructure as Code (IaC) patterns and modules. This position requires expertise in managing complex configurations and cross-environment dependencies to ensure seamless operations. Responsibilities: • Develop and deploy Azure infrastructure using Terraform or Bicep modules provided by the Senior Cloud Engineer. • Manage and resolve complex configurations that involve multiple environments or interconnected workstreams. • Execute migration and remediation processes during workload transitions and cutover events. • Validate the deployed infrastructure to ensure alignment with target-state design specifications. • Troubleshoot and resolve deployment issues, addressing any configuration conflicts that arise. • Contribute to the creation and maintenance of documentation and knowledge-sharing materials for team use.
2026-06-15T00:00:00Z

Cloud Engineer

Norristown, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Cloud Engineer to lead the development of a robust Azure environment within a hub-and-spoke architecture. This long-term contract position is based in King of Prussia, Pennsylvania, and offers an exciting opportunity to design and implement scalable cloud solutions. The role involves hands-on engineering, collaboration with architects, and the supervision of a small team to deliver high-quality infrastructure-as-code (IaC) solutions. Responsibilities: • Lead the creation and implementation of eight Azure subscriptions using Terraform or Bicep, following a hub-and-spoke model. • Develop, maintain, and optimize infrastructure-as-code modules for a variety of services including networking, Key Vault, storage, compute, container services, and monitoring. • Design, test, and execute migration and remediation scripts to support workload transitions. • Oversee and guide the daily activities of two Cloud Engineers working on environment replication and build tasks. • Collaborate with the Databricks vendor to ensure seamless platform integration and address infrastructure needs. • Participate in architecture reviews, offering actionable feedback to align designs with implementation goals. • Create detailed documentation, runbooks, and knowledge transfer materials to support long-term team operations.
2026-05-28T00:00:00Z

Business Intelligence Developer

Jacksonville, FL
remote
Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for an experienced Business Intelligence Developer to join our team in Jacksonville, Florida. In this role, you will leverage your expertise to transform complex data into actionable insights, enabling informed decision-making across the organization. This Contract position offers the opportunity to collaborate with key stakeholders to design and deliver innovative reporting solutions tailored to evolving business needs. Responsibilities: • Extract and analyze data from diverse systems within the data lake to support reporting and analytics needs. • Design, develop, and maintain Power BI dashboards and interactive visualizations to provide clear insights. • Collaborate with department leaders to gather business requirements and translate them into effective technical solutions. • Perform detailed data analysis to uncover trends and anomalies that drive strategic decisions. • Optimize and manage SQL queries for reporting purposes and data model improvements. • Maintain and enhance existing reports while developing new solutions to address emerging business demands. • Ensure data quality and integrity across analytics platforms. • Partner with data engineering teams to improve data pipelines and enhance data sources. • Contribute to the implementation of data modeling best practices within the analytics environment.
2026-06-10T00:00:00Z