237 Results for Data Engineer Jobs in

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Data Engineer

Oskaloosa, IA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 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. ***
2026-10-13T00:00:00Z

Database Engineer

Westlake, OH
onsite
Permanent / Full Time
70000 - 155000 USD / Yearly
We are looking for a skilled Database Engineer to join our team in Westlake, Ohio. In this role, you will design, implement, and optimize database solutions to support business operations and data-driven decision-making. You will collaborate with cross-functional teams and leverage advanced technologies to ensure robust database performance and scalability. Responsibilities: • Design and implement database solutions that align with business requirements and technical specifications. • Optimize and tune database performance to ensure efficiency and scalability. • Collaborate with cross-functional teams to analyze data needs and develop appropriate solutions. • Write, test, and troubleshoot complex SQL queries, including joins, aggregations, and stored procedures. • Monitor and maintain database systems, performing regular updates and performance checks. • Utilize source control and CI/CD tools, such as Azure DevOps, to manage database development and deployment. • Stay updated on emerging technologies and integrate new tools into existing systems as needed. • Provide technical guidance and support to team members regarding database-related issues. • Ensure data integrity and security through regular audits and implementation of best practices.
2026-10-01T00:00:00Z

Data Scientist

Sacramento, CA
onsite
Temporary / Contract
65 - 70 USD / Hourly
100% Onsite Role. We are looking for a Data Scientist to support advanced analytics and machine learning initiatives in Sacramento, California. This Long-term Contract position focuses on creating practical, production-ready solutions that improve operational decision-making, with an early emphasis on predictive maintenance and fleet performance in asset-heavy environments. The role works closely with business leaders and technical teams to turn complex data into reliable models, useful insights, and scalable AI capabilities. Must have experience in construction, mining, transportation, manufacturing, energy, or other asset-intensive industries Responsibilities:• Build, test, and implement machine learning and analytical models using operational, maintenance, and telemetry data to improve equipment reliability and reduce unexpected downtime.• Create pilot solutions with measurable success criteria, then develop high-performing concepts into stable model pipelines suitable for ongoing production use.• Convert analytical results into clear recommendations, dashboards, or decision-support outputs that help both technical teams and business stakeholders act with confidence.• Partner with data engineering teams to shape requirements for data intake, transformation, feature creation, and model delivery across the broader data environment.• Document methodologies, assumptions, dependencies, and performance results to support transparency, repeatability, and effective model governance.• Provide input on enterprise data architecture needs from a data science perspective, including dataset design, feature availability, experiment tracking, and model readiness.• Identify data limitations, quality concerns, and enrichment opportunities that could influence model accuracy or business value.• Work with cross-functional partners to define new analytics and AI opportunities and assess external tools or vendor-developed solutions when needed.
2026-10-16T00:00:00Z

Data Scientist

Atlanta, GA
onsite
Temporary / Contract
65 - 75 USD / Hourly
For our client, we are seeking a Data Scientist to develop advanced analytics, predictive models, and machine learning solutions that support strategic business decisions. This individual will work with large datasets, identify meaningful patterns, and collaborate with technical and business teams to deliver actionable insights through statistical analysis, data modeling, and artificial intelligence.
2026-10-23T00:00:00Z

Data Scientist

Dover, DE
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to support advanced data initiatives in Dover, Delaware. This Long-term Contract position focuses on building scalable data solutions, uncovering actionable insights, and helping stakeholders make informed decisions through reliable analysis. The ideal candidate brings strong technical depth across modern data platforms and is comfortable working with large, complex datasets in a collaborative environment. Responsibilities: • Design and maintain data pipelines that collect, transform, and prepare large datasets for analytical and operational use. • Develop statistical models and data-driven solutions that help identify trends, improve forecasting, and support business strategy. • Use Python and distributed processing tools to analyze high-volume data efficiently and produce meaningful recommendations. • Work with Spark and Hadoop-based environments to manage large-scale data processing and support advanced analytics workloads. • Integrate streaming and batch data from multiple sources, including Kafka, to ensure timely and accurate data availability. • Partner with cross-functional teams to translate business questions into analytical approaches, technical requirements, and measurable outcomes. • Build ETL workflows that improve data quality, consistency, and accessibility across reporting and analytical platforms. • Document methodologies, assumptions, and results clearly so that technical and non-technical stakeholders can understand key findings.
2026-10-21T00:00:00Z

Data Scientist

Los Angeles, CA
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication. Responsibilities:• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.
2026-10-19T00:00:00Z

Data Engineer - Lead

Houston, TX
onsite
Permanent / Full Time
175000 - 225000 USD / Yearly
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-10-05T00:00:00Z

Data Warehouse Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Our client is seeking a Data Warehouse Engineer to support the design, development, and optimization of modern enterprise data platforms. This position will play a key role in building scalable data solutions for reporting, analytics, and business intelligence initiatives.Responsibilities<ul><li>Design and develop ETL/ELT pipelines</li><li>Build and maintain enterprise data warehouses and data marts</li><li>Optimize SQL queries and data models for performance</li><li>Work with business stakeholders to deliver reporting solutions</li><li>Support Power BI, Tableau, or similar analytics platforms</li><li>Ensure data quality, integrity, and governance standards</li></ul>
2026-10-22T00:00:00Z

Data Engineer - Python/Snowflake

Houston, TX
onsite
Permanent / Full Time
110000 - 160000 USD / Yearly
Join a growing data engineering team supporting mission-critical analytics and business operations within the energy, commodities trading, oil & gas, or financial services sector. This role is focused on designing and supporting cloud-based data solutions using Python, Snowflake, and AWS, enabling scalable, reliable, and high-performance data platforms.You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making. Responsibilities<ul><li>Design, develop, and maintain scalable Python-based data pipelines that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within Snowflake, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul>
2026-10-05T00:00:00Z

Data Analyst

New York, NY
onsite
Temporary / Contract
35.15 - 40.7 USD / Hourly
We are looking for a Data Analyst to join a FinTech organization in New York, New York. This Long-term Contract position is ideal for someone who enjoys translating complex commercial and sales data into practical recommendations that support pricing, forecasting, and business decisions. In this role, you will work across teams to strengthen reporting accuracy, develop analytical models, and present insights that help guide deal strategy and revenue outcomes. Responsibilities: • Build and refine analytical models and reusable templates to evaluate new business opportunities as well as converted accounts. • Perform margin-focused assessments on proposed deals to support pricing decisions and overall commercial strategy. • Create clear presentation materials that summarize commercial proposals, financial considerations, and key business insights. • Prepare internal review decks that clearly communicate deal performance, assumptions, risks, and recommendations for stakeholders. • Audit and validate Salesforce data to improve consistency, completeness, and reporting reliability. • Maintain accurate weekly tracking reports and ensure leadership has timely visibility into performance metrics and pipeline activity. • Analyze sales and pricing data to uncover trends, compare scenario outcomes, and support revenue forecasting. • Partner with cross-functional teams including Sales and Finance to align analysis with business objectives and customer needs.
2026-10-28T00:00:00Z

Data Analyst

Cambridge, MA
remote
Temporary to Hire
35.625 - 41.25 USD / Hourly
We are looking for a Data Analyst to join an education-focused organization on a contract-to-permanent basis. This role will bring structure and visibility to contract and vendor data by turning scattered information into reliable insights that support renewal planning and procurement decisions. The person in this position will work closely with sourcing, software asset management, finance, and vendor management stakeholders to improve oversight of agreements and help the team operate more proactively. This opportunity is well suited for someone who combines strong analytical ability with hands-on experience in vendor contracts, renewals, and procure-to-pay environments. Responsibilities: • Consolidate contract, procurement, finance, and usage information from multiple systems into organized datasets that support accurate tracking and reporting. • Review and cleanse existing records to improve data quality, identify gaps, and create a dependable foundation for renewal and vendor oversight activities. • Analyze upcoming contract expirations and renewal timelines to help the team prioritize actions and reduce reactive management of agreements. • Partner with sourcing leads, software asset management professionals, and vendor management stakeholders to evaluate vendor portfolios and support governance reviews. • Generate reports and spreadsheets that highlight contract status, vendor tiering, financial considerations, and lifecycle activity for decision-makers. • Extract and interpret information from platforms such as Coupa, ServiceNow, finance tools, and other contract repositories to build useful business insights. • Support vendor lifecycle and procure-to-pay analysis by identifying trends, tracking obligations, and improving visibility across active agreements. • Collaborate with internal teams and external vendors to validate contract details, resolve discrepancies, and maintain consistent records across systems.
2026-10-07T00:00:00Z

Data Analyst

Austin, TX
onsite
Temporary / Contract
52 - 56 USD / Hourly
Robert Half is actively partnering with an Austin-based client to identify a Data Analyst (contract). In this role, you will serve as a strategic partner between business stakeholders and the data platform. As well as transform complex business questions into scalable analytics solutions, enabling data-driven decision-making across multiple departments. This role is hybrid in Austin, Tx. Key Responsibilities:<ul><li>Partner with stakeholders to translate business questions into actionable analytics solutions.</li><li>Gather requirements, define KPIs, and create scalable reporting frameworks.</li><li>Design, build, and maintain analytics data models using SQL and dbt.</li><li>Develop and enhance dashboards, reports, and self-service BI solutions.</li><li>Perform data validation, testing, and quality assurance to ensure accurate reporting.</li><li>Conduct trend analysis and root-cause investigations to support business decisions.</li><li>Present insights and recommendations to technical and non-technical audiences.</li><li>Collaborate on data platform enhancements, reporting consolidation, and modernization initiatives.</li><li>Automate recurring reporting and analytics processes using Python.</li><li>Maintain documentation, data governance standards, and reporting best practices.</li><li>Support secure handling of financial, operational, customer, and employee data.</li><li>Contribute to code reviews, CI/CD processes, and continuous improvement efforts.</li></ul>
2026-10-12T00:00:00Z

Data Analyst

De Pere, WI
onsite
Temporary / Contract
45 - 50 USD / Hourly
We are seeking a detail-oriented Data Analyst to support material and vendor master data management for a well-established organization. This position is responsible for maintaining accurate data within SAP, processing material and vendor updates, supporting data governance initiatives, and ensuring data integrity across business operations. The ideal candidate brings experience in SAP, master data management, data validation, and process improvement, along with strong analytical and organizational skills. Key Responsibilities Create, update, and maintain material and vendor master records within SAP. Ensure accuracy, completeness, and consistency of master data across systems. Process vendor setup requests, changes, and updates while verifying required documentation and approvals. Maintain material records throughout the product lifecycle, including status changes and updates. Support data governance policies, procedures, and quality standards. Research and resolve data discrepancies, errors, and system-related issues. Collaborate with cross-functional teams to address data requests and operational needs. Support data synchronization and publication processes, including GDSN, 1WorldSync, and GS1 standards. Monitor shared mailboxes, manage incoming requests, and meet established service-level agreements (SLAs). Assist with data cleanup, reporting, and process improvement initiative
2026-10-21T00:00:00Z

Data Analyst

Nashville, TN
onsite
Temporary / Contract
38 - 42 USD / Hourly
Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization. Key Responsibilities:<ol><li>Data Collection and Analysis: Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li>Reporting: Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li>Data Validation: Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li>Collaboration: Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li>Data Modeling: Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li>Trend Analysis: Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li>Documentation: Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li>Ad Hoc Analysis: Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol>
2026-10-14T00:00:00Z

Data Analyst

Diamond Bar, CA
onsite
Temporary / Contract
71.25 - 82.5 USD / Hourly
We are looking for a Data Analyst to support reporting, audience targeting, and data-driven decision-making for a manufacturing organization in Diamond Bar, California. This Long-term Contract position partners closely with business stakeholders to translate operational goals into meaningful reports, reliable datasets, and actionable audience lists. The ideal candidate brings strong analytical skills, hands-on experience with SQL and Excel, and the ability to communicate clearly while maintaining high standards for data accuracy. Responsibilities: • Partner with business teams to gather reporting needs, clarify audience outreach objectives, and turn those needs into practical data solutions. • Develop and refine reports, datasets, and audience lists that help stakeholders measure performance and support business priorities. • Write and troubleshoot SQL queries across multiple tables, using joins and backend reporting techniques to extract accurate information. • Pull, validate, and organize data from platforms such as Salesforce and marketing-related systems to support analysis and campaign targeting. • Perform data validation checks and investigate quality issues to improve confidence in reporting outputs and audience segmentation. • Use advanced Excel functions, including PivotTables and lookup formulas, to analyze trends, reconcile data, and present findings clearly. • Build targeted audience segments and list selections based on defined business rules, data attributes, and outreach requirements. • Communicate proactively with cross-functional partners to provide status updates, resolve issues quickly, and ensure deliverables align with expectations.
2026-10-23T00:00:00Z

Data Analyst

Tallahassee, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Analyst to support the design, development, implementation, and maintenance of software applications and data management solutions. This role requires close collaboration with cross-functional teams to deliver scalable technology solutions that meet business and operational needs.Responsibilities<ul><li>Gather, analyze, and document business and technical requirements.</li><li>Translate requirements into functional specifications, technical designs, and implementation plans.</li><li>Research, evaluate, and recommend technologies, platforms, tools, and development approaches.</li><li>Design, develop, test, and deploy software applications, integrations, and database solutions.</li><li>Collaborate with project teams to define priorities, estimate effort, and support project delivery.</li><li>Assist with identifying, tracking, and resolving project risks, issues, and dependencies.</li><li>Work with stakeholders to provide status updates, gather feedback, and ensure alignment with project objectives.</li><li>Develop and maintain technical documentation, including system designs, processes, configurations, and support materials.</li><li>Troubleshoot, maintain, and enhance existing applications and systems.</li><li>Support cloud-based and enterprise technology environments as needed.</li><li>Participate in quality assurance, testing, and continuous improvement activities.</li><li>Perform other related duties and responsibilities as assigned.</li></ul>Qualifications<ul><li>Experience in software development, application support, or systems implementation.</li><li>Knowledge of software development methodologies and best practices.</li><li>Experience with databases, application design, and system integration concepts.</li><li>Strong analytical, problem-solving, and organizational skills.</li><li>Ability to manage multiple priorities and work effectively in a team environment.</li><li>Strong written and verbal communication skills.</li><li>Ability to learn new technologies and adapt to changing business needs.</li></ul>
2026-10-15T00:00:00Z

Data Analyst

Moline, IL
onsite
Temporary to Hire
42.75 - 49.5 USD / Hourly
We are looking for a Data Analyst to join a financial services organization in Moline, Illinois on a contract-to-permanent basis. In this role, you will turn business questions into clear technical requirements and help teams use data to make informed decisions. You will work closely with stakeholders across business, technology, and security functions to support the development of reliable reporting and analytics solutions. Responsibilities: • Partner with business teams to gather, clarify, and document reporting and analytics needs in a way that supports technical development. • Convert business objectives into detailed specifications for data products, dashboards, and reporting solutions. • Act as a key connection point between operational stakeholders and analytics teams to ensure requirements are complete, accurate, and actionable. • Create meaningful visualizations and data narratives that help associates and members understand trends, performance, and opportunities. • Support the design and delivery of business intelligence solutions using reporting and analytics tools aligned with organizational needs. • Collaborate with information technology, data owners, and security partners to maintain data quality and uphold standards for confidentiality, integrity, and availability. • Analyze data sets to identify issues, answer business questions, and recommend practical solutions with minimal supervision. • Contribute to ongoing analytics initiatives by tracking requirements, coordinating feedback, and assisting with related project activities as needed.
2026-10-02T00:00:00Z

Data Analyst

Cincinnati, OH
remote
Temporary / Contract
75 - 85 USD / Hourly
Robert Half is seeking an IFS Enterprise Asset Management (EAM) Solution Architect to support a strategic asset management transformation initiative for a large asset-intensive client. This consultant will serve as a trusted advisor responsible for evaluating the client's current-state IFS EAM environment and designing a scalable future-state framework that improves asset reliability, maintenance effectiveness, governance, reporting, and operational decision-making. Apply today! Duration: 3 months contract with potential to extend, depending on performance Location: 100% Remote, occasional travel to SeattleSchedule: Open to candidates who’d be interested in Part Time or Full Time work Key Responsibilities<ul><li>Assess current-state IFS EAM configuration, business processes, data structures, and governance practices.</li><li>Lead discovery sessions and workshops with maintenance, operations, supply chain, engineering, IT, and business stakeholders.</li><li>Design scalable asset hierarchy models, equipment structures, and master data governance frameworks.</li><li>Evaluate and optimize maintenance planning, preventive maintenance, work order management, scheduling, and execution processes.</li><li>Develop recommendations for warehouse operations, spare parts management, BOM governance, and inventory controls.</li><li>Establish reliability and performance measurement frameworks, including KPIs, reporting models, and asset lifecycle metrics.</li><li>Identify opportunities to leverage standard IFS capabilities while reducing reliance on custom processes and workarounds.</li><li>Create future-state operating models, implementation roadmaps, and prioritized improvement initiatives.</li><li>Support organizational readiness, training, knowledge transfer, and adoption activities.</li><li>Provide strategic guidance throughout assessment, design, and optimization phases of the engagement.</li></ul>
2026-10-28T00:00:00Z

Data Analyst

New York, NY
onsite
Temporary / Contract
33 - 37 USD / Hourly
We are looking for a Data Analyst to join a FinTech organization on a long-term contract assignment. This role focuses on transforming commercial and sales data into meaningful analysis that supports pricing decisions, revenue planning, and opportunity evaluation. The successful candidate will work closely with cross-functional partners to develop clear reporting, validate critical business data, and deliver insights that strengthen decision-making across the business. Responsibilities: • Create analytical models and decision-support templates to assess new business and converted opportunities. • Evaluate deal economics by examining margins, pricing structures, and overall commercial viability. • Develop effective presentation materials that summarize commercial proposals and support stakeholder discussions. • Prepare internal review decks that clearly communicate deal performance, assumptions, and recommendation points. • Audit and maintain Salesforce data to improve accuracy, consistency, and reporting reliability. • Keep weekly tracking reports current by monitoring key metrics, updating performance data, and highlighting notable changes. • Analyze sales and pricing information to uncover trends, identify opportunities, and support more competitive market decisions.
2026-10-28T00:00:00Z

Data Analyst

Nashville, TN
remote
Permanent / Full Time
100000 - 120000 USD / Yearly
We are looking for a Data Analyst to support reliable data operations and help maintain the flow, quality, and usability of critical information across the organization. This role is based in Nashville, Tennessee, and is well suited for someone who combines strong Python and SQL skills with a methodical approach to troubleshooting data issues. The person in this position will work closely with technical teams and business partners to identify problems, improve pipeline performance, and keep stakeholders informed in a fast-paced environment. Responsibilities: • Oversee daily data processing activities to identify failed loads, broken workflows, or feed issues and take prompt action to restore normal operations. • Investigate delays in incoming data, determine underlying causes, and implement corrective steps to improve consistency and timeliness. • Collaborate with internal technology teams, delivery partners, and external vendors to communicate status updates, risks, and progress on data-related work. • Troubleshoot coding and data quality problems, fulfill support requests, and develop practical measures that reduce repeat incidents. • Evaluate competing issues independently, set priorities based on business impact, and recommend improvements to inefficient code or operational processes. • Maintain clear documentation and provide regular communication so stakeholders understand incidents, resolutions, and next steps. • Participate in an on-call support rotation to respond to pipeline or data availability incidents when needed. • Contribute to additional operational and analytical initiatives that strengthen data reliability and support organizational goals.
2026-10-01T00:00:00Z

Data Automation Engineer

Washington, DC
remote
Temporary / Contract
48 - 54 USD / Hourly
We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities. Key Responsibilities:· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.
2026-10-15T00:00:00Z

Data Governance Engineer

Glendale, CA
onsite
Temporary / Contract
72 - 78 USD / Hourly
We are looking for a Data Governance Engineer to support the implementation, administration, and continuous improvement of enterprise data governance capabilities across a modern cloud data platform. This role will work closely with data platform, security, and product teams to translate governance requirements into scalable technical solutions that improve data security, accessibility, quality, and compliance. Key Responsibilities:· Administer and configure Snowflake security and governance capabilities, including RBAC, dynamic masking, and object tagging.· Implement, maintain, and troubleshoot access governance controls within Immuta and other governance platforms.· Configure and monitor data quality checks, alerting mechanisms, and governance-related operational processes.· Maintain, enrich, and optimize enterprise data catalog content to improve discoverability, classification, and metadata quality.· Support the adoption and enhancement of AI-assisted data documentation and description generation tools.· Partner with engineering teams to test, validate, and deploy ingest-time data tagging and metadata management solutions.· Collaborate with program and product stakeholders to translate governance policies, security requirements, and compliance standards into technical implementations.· Support governance operations, incident resolution, root cause analysis, and continuous process improvement initiatives.· Participate in evaluations, testing, and implementation of new governance, catalog, quality, and security technologies.
2026-10-29T00:00:00Z

Database Developer

Lehi, UT
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
Staff Database EngineerThis Staff Database Engineer will play a key role in modernizing a large, multi-tenant database environment, with particular focus on Couchbase, large-scale migrations, AWS database technologies, data pipelines, and production reliability. This is a hands-on Staff-level role requiring both deep technical expertise and the ability to guide architecture and migration strategy.What You'll Do<ul><li>Lead large-scale database migrations involving TB+ datasets, including planning, data validation, replication, cutover, rollback, and risk mitigation.</li><li>Evaluate existing Couchbase workloads and determine whether they should remain on Couchbase or migrate to DynamoDB, DocumentDB, or another database platform based on access patterns, scale, performance, and cost.</li><li>Configure, monitor, and troubleshoot Couchbase XDCR or comparable replication technologies, including replication failures, lag, and performance issues.</li><li>Design database strategies for complex multi-tenant environments with varying customer sizes, traffic patterns, and performance requirements.</li><li>Architect and support cloud database solutions primarily within AWS, utilizing technologies such as DynamoDB, DocumentDB, RDS, DMS, Glue, Lambda, and CloudWatch.</li><li>Design, build, and support ETL/ELT pipelines feeding Snowflake or similar modern data platforms, including data validation, backfills, recovery, and troubleshooting.</li><li>Use Python and SQL for automation, data processing, database operations, and workflow orchestration.</li><li>Take ownership of production database incidents, from troubleshooting and recovery through root-cause analysis and preventative improvements.</li><li>Establish proactive monitoring, alerting, and performance strategies using Datadog, CloudWatch, Azure Monitor, or similar observability tools.</li><li>Serve as a technical leader, partnering with engineering teams on database architecture, migrations, performance, reliability, and platform strategy.</li></ul>
2026-10-20T00:00:00Z

Data Scientist/MLE

Pittsburgh, PA
onsite
Temporary / Contract
85000 - 200000 USD / Yearly
We are looking for Data Analytics, Data Science, and AI professionals interested in exploring new opportunities with organizations leveraging data to drive strategic decision-making and innovation. We are partnering with multiple companies seeking talent across analytics, machine learning, artificial intelligence, and advanced reporting functions. Location: Pittsburgh, PA (Hybrid and Onsite Opportunities Available)Compensation: $85,000 - $200,000+ depending on experience and positionSchedule: Full-Time Opportunities May Include:<ul><li>Data Analyst</li><li>Senior Data Analyst</li><li>Business Intelligence Analyst</li><li>BI Developer</li><li>Data Scientist</li><li>Senior Data Scientist</li><li>Machine Learning Engineer</li><li>AI Engineer</li><li>Applied AI Engineer</li><li>AI/ML Engineer</li><li>Manager, Data & Analytics</li></ul>Responsibilities:<ul><li>Analyze large datasets to uncover trends, patterns, and actionable insights</li><li>Build dashboards, reports, and visualizations for business stakeholders</li><li>Develop predictive models, machine learning solutions, and AI-driven applications</li><li>Partner with cross-functional teams to solve complex business challenges</li><li>Evaluate and improve data quality, reporting accuracy, and analytical processes</li><li>Develop and deploy machine learning models into production environments</li><li>Communicate findings and recommendations to technical and non-technical audiences</li></ul>
2026-10-14T00:00:00Z

Lead Data Engineer

Los Angeles, CA
remote
Permanent / Full Time
175000 - 180000 USD / Yearly
Lead Data Engineer Company Overview A media organization is seeking a Lead Data Engineer to support enterprise data, analytics, and emerging technology initiatives. This role offers the opportunity to lead technical projects, mentor engineers, and help shape the organization's data strategy. Role Summary The Lead Data Engineer will be a hands-on technical leader responsible for data engineering, analytics, automation, and AI-related initiatives. This role combines individual contribution, technical direction, team mentorship, and cross-functional collaboration. Key Responsibilities<ul><li>Lead the design, development, and support of enterprise data solutions.</li><li>Provide technical leadership and establish development best practices.</li><li>Oversee data pipelines, integrations, reporting, and automation initiatives.</li><li>Partner with business and technology stakeholders to prioritize work and deliver solutions.</li><li>Monitor data quality, reliability, and operational performance.</li><li>Mentor team members and support their technical development.</li><li>Evaluate emerging technologies and identify opportunities for innovation.</li></ul>
2026-10-09T00:00:00Z

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