169 Results for Big Data Engineer Jobs

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Data Engineer

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions. Responsibilities: • Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting. • Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products. • Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement. • Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets. • Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs. • Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques. • Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed. • Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
2026-10-16T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining the data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best practices.
2026-10-22T00:00:00Z

Data Engineer

Norman, OK
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Platform Engineer to join a 4-month contract opportunity based in Norman, Oklahoma. This role owns the storage, retention and pipeline-correctness workstream. This is data engineering, not cloud infrastructure. What they will actually do▪ Own the storage and pipeline backlog across the ingestion and processing repositories▪ Event ordering and bitemporal modelling: separating event time from ingestion time, deterministic replay▪ Atomic snapshot publication with schema admission and rollback▪ Design the historical layer on object storage so it can be queried economically and answer as-of questions correctly — file format, partitioning, compaction, and whether the canonical layer moves onto a managed table format▪ Reconcile the operational database and the historical store so a point-in-time question returns one answer rather than two▪ Evidence immutability and retention: object-lock semantics, preventing overwrite of stored evidence, validated recovery paths▪ Pipeline durability: idempotent runs, completeness receipts, restore testing▪ Support production cutover in month 4 — this seat does not roll off early
2026-10-22T00:00:00Z

Data Engineer

Houston, TX
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment. Responsibilities: • Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment. • Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting. • Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate. • Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms. • Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions. • Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership. • Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality. • Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
2026-10-05T00:00:00Z

Data Engineer

Milwaukee, WI
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
We are looking for a Data Engineer to turn complex healthcare, financial, and operational data into meaningful insights that guide leadership decisions. This position supports organizational performance by connecting information from clinical and business systems, building practical reporting tools, and highlighting trends that matter. Based in Milwaukee, Wisconsin, the role works closely with finance, operations, and clinical stakeholders to improve visibility, planning, and overall effectiveness. Local candidates to the Greater Milwaukee area with Healthcare Epic experience is desired. Responsibilities:• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.
2026-10-20T00:00:00Z

Data Engineer

Seattle, WA
remote
Temporary / Contract
65 - 75 USD / Hourly
Robert Half is seeking an experienced Senior Data Engineer to support a law firm based in Seattle, Washington with the continued development and modernization of its enterprise data environment. This role will focus heavily on Databricks, dimensional modeling, PySpark, and Unity Catalog, with responsibility for ingesting, transforming, and preparing data from multiple enterprise systems for reporting and analytics. Duration: 6-month contractLocation: 100% Remote – preferred to work PST or CSTPay rate: $65-$75/hour (W2) Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and data models within Databricks.</li><li>Build and optimize dimensional data models to support enterprise reporting and analytics.</li><li>Develop data transformation and processing workflows using PySpark.</li><li>Ingest data from enterprise source systems, including Workday, Elite/Elite 3E, and Salesforce.</li><li>Move data through the Medallion Architecture, including Bronze, Silver, and Gold layers.</li><li>Clean, normalize, transform, and prepare source data for downstream analytics and reporting.</li><li>Utilize Unity Catalog to support data governance, security, organization, and access management.</li><li>Prepare curated datasets for consumption and reporting within Power BI.</li><li>Partner with business and technical stakeholders to understand reporting needs and demonstrate data within Power BI.</li><li>Troubleshoot data connectivity and integration issues involving APIs, Postman, firewall rules, and certificates.</li><li>Ensure data pipelines and models are scalable, reliable, and aligned with data engineering best practices.</li></ul>
2026-10-21T00:00:00Z

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

Data Scientist

Houston, TX
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
We are looking for a Data Scientist to help strengthen turbine reliability and improve operational visibility across a power generation fleet in Houston, Texas. This position combines hands-on data preparation, advanced analytics, and business reporting to turn complex equipment and performance data into practical insights for engineering and leadership teams. The ideal candidate can move comfortably between developing dashboards, analyzing downtime patterns, and creating predictive tools that support maintenance and performance decisions. Responsibilities: • Create and enhance dashboard reporting that highlights fleet financial results, equipment availability, and the primary factors affecting cost and performance. • Convert operational and maintenance data into meaningful metrics and recurring reports for engineering teams, business partners, and leadership stakeholders. • Gather, organize, and refine downtime, outage, and maintenance records from multiple operational sources and field documentation to support reliable analysis. • Evaluate failure and outage events to identify root causes and categorize trends across mechanical, electrical, controls, weather, and grid-related issues. • Build and maintain a dependable historical data set that supports querying, trend analysis, and long-term reliability reviews across the turbine fleet. • Design and implement statistical and machine learning models that anticipate downtime risk, detect component deterioration, and support earlier intervention. • Develop anomaly detection and early alert solutions using sensor and operating data such as vibration, temperature, pressure, and combustion-related measurements. • Partner with reliability, operations, engineering, and asset management teams to validate analytical findings, improve data pipelines, and recommend maintenance strategy adjustments based on observed trends. • Present technical conclusions and business implications clearly to both specialized and non-technical audiences, including management and leadership teams.
2026-10-05T00:00:00Z

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

Bala Cynwyd, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools. Responsibilities: • Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting. • Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders. • Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format. • Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows. • Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources. • Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences. • Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices. • Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed. • Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
2026-10-22T00:00:00Z

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

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

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

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 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

Senior Data Engineer

Houston, TX
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Engineer to help design and enhance scalable data platforms that support critical business operations in Houston, Texas. This role is ideal for someone who enjoys building reliable pipelines, improving data accessibility, and working with modern big data technologies in a service-focused environment. The successful candidate will play a key role in shaping data architecture, enabling analytics, and maintaining high standards for performance, quality, and governance. Responsibilities: • Design, build, and optimize large-scale data pipelines that collect, transform, and deliver data from multiple sources. • Develop robust ETL workflows using Python and Spark to support reporting, analytics, and operational data needs. • Implement and maintain data solutions across distributed processing environments, including Hadoop and Azure Databricks. • Create streaming and batch data integrations using Kafka and related technologies to ensure timely and dependable data movement. • Collaborate with analysts, engineers, and business stakeholders to translate requirements into scalable technical solutions. • Monitor pipeline performance, troubleshoot data issues, and apply improvements that increase reliability and efficiency. • Establish data quality controls, validation processes, and documentation to support governance and long-term maintainability. • Contribute to platform enhancements and technical initiatives, including changes to data infrastructure or internal processing frameworks when needed.
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

Power BI Data Engineer

Niceville, FL
onsite
Permanent / Full Time
90000 - 120000 USD / Yearly
We are looking for an experienced Power BI Business Intelligence Engineer to join our team in Niceville, Florida. In this role, you will play a vital part in managing and enhancing our reporting and business intelligence platforms to provide actionable insights. Your expertise will drive data analysis, dashboard creation, and the development of solutions that support key business decisions. Responsibilities: • Oversee the company's reporting and business intelligence systems to ensure optimal performance and accuracy. • Develop a deep understanding of the organization's business models, operations, and decision-making processes. • Analyze data architecture and gather requirements from stakeholders to create tailored solutions. • Build and manage data sources, models, and integrations for reporting and analytics purposes. • Design and maintain dashboards and reports using enterprise business intelligence tools. • Facilitate seamless data integration processes to retrieve, transform, and analyze datasets. • Support leadership in creating management information and KPIs to drive data-driven decision-making. • Ensure data quality and integrity across all business intelligence deliverables. • Stay updated with the latest advancements in BI technologies, tools, and practices to recommend improvements. • Document systems and processes comprehensively while adhering to governance, security, and privacy standards.
2026-10-21T00:00:00Z

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

Principal Data Engineer

Avon, MN
onsite
Permanent / Full Time
130000 - 190000 USD / Yearly
We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience. Responsibilities:• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.
2026-10-20T00:00:00Z

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
56 - 61 USD / Hourly
Data Scientist III (Supply Chain Optimization & Forecasting)Long Term ContractHybrid Philadelphia, PAPay: Available on W2OverviewWe are seeking an experienced Data Scientist III to support a Supply Chain Planning Center of Excellence focused on forecasting, inventory optimization, and advanced analytics. This individual will design and deploy data science and operations research solutions that improve demand planning, inventory performance, and supply chain decision-making across complex business networks.This role requires a combination of Data Science and Operations Research expertise. Candidates should be comfortable building machine learning models as well as optimization and linear programming solutions that support supply chain planning and inventory decisions.Key ResponsibilitiesForecasting & Data Science<ul><li>Develop and deploy time-series forecasting and machine learning models to improve demand planning performance.</li><li>Build and enhance demand forecasting models and machine learning solutions.</li><li>Develop inventory optimization, linear programming, and Operations Research models that improve planning decisions.</li><li>Analyze inventory performance, demand variability, and forecasting accuracy to improve business outcomes.</li><li>Translate business requirements into scalable analytical solutions.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</li></ul>Inventory Optimization & MEIO<ul><li>Lead the development, enhancement, and ownership of Multi-Echelon Inventory Optimization (MEIO) models.</li><li>Translate business requirements, operational constraints, and planning policies into mathematical optimization models and decision-support tools.</li><li>Develop optimization logic that balances inventory investment, service levels, safety stock, lead-time variability, network constraints, and cost objectives.</li></ul>Optimization Engineering<ul><li>Build and maintain mathematical optimization models using commercial optimization solvers such as Gurobi or similar platforms.</li><li>Apply optimization techniques including linear programming, mixed-integer programming, scenario modeling, simulation, and uncertainty-aware optimization.</li></ul>Data Engineering & Operationalization<ul><li>Develop and maintain SQL-based ETL processes and data pipelines that support optimization and forecasting solutions.</li><li>Partner with data engineering teams to ensure data quality, availability, and reliability.</li><li>Create monitoring, governance, and documentation processes to support production-ready solutions.</li></ul>
2026-10-21T00:00:00Z

Data & Integration Engineer

Mankato, MN
onsite
Permanent / Full Time
95000 - 115000 USD / Yearly
We are looking for a Data & Integration Engineer to support the design and delivery of dependable data solutions for healthcare operations in Mankato, Minnesota. In this role, you will create and optimize data pipelines, connect critical applications, and help ensure information moves accurately across clinical, operational, and business platforms. This position is ideal for someone who combines strong technical depth with a practical understanding of healthcare data standards, platform reliability, and regulatory expectations. Responsibilities: • Develop and support scalable data workflows that collect, transform, and distribute information across enterprise systems. • Build and manage integrations between clinical, operational, and business applications to enable consistent data exchange. • Monitor data processing and interface performance, troubleshoot failures, and improve overall reliability of connected systems. • Establish and maintain controls that strengthen data accuracy, completeness, and consistency throughout the data lifecycle. • Create and enhance data infrastructure using modern cloud and database technologies to support reporting, analytics, and operational needs. • Partner with technical and business teams to understand integration requirements and translate them into effective engineering solutions. • Implement solutions that align with healthcare data regulations and interoperability expectations across connected platforms. • Support interfaces and data connections involving electronic health record and practice management systems, including related downstream applications.
2026-10-08T00:00:00Z

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

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