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283 results for Data Engineer jobs

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.
2026-04-03T00:00:00Z

Data Engineer - Python

Houston, TX
onsite
Permanent / Full Time
110000 - 160000 USD / Yearly
We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions. Responsibilities<ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</li></ul>
2026-04-03T00:00:00Z

Database Engineer/Manager

Washington, DC
onsite
Temporary / Contract
52.89 - 52.89 USD / Hourly
We are looking for a Database Engineer/Manager to be responsible for the definition, design, implementation, documentation, and ongoing support of enterprise Database Management System (DBMS) environments supporting mission‑critical systems. This role delivers complex database solutions across multiple technical domains and plays a key role in ensuring database performance, integrity, security, availability, and scalability. The position requires advanced technical expertise, cross‑functional collaboration, and leadership in large‑scale database initiatives. Key Responsibilities:· Design, implement, and maintain enterprise DBMS architectures and standards.· Install, configure, administer, and optimize Microsoft SQL Server and Oracle databases.· Manage high availability, clustering, replication, backup, and disaster recovery solutions.· Monitor database performance, capacity, integrity, and security; troubleshoot complex issues.· Plan and execute database upgrades, patches, migrations, and modernization efforts.· Ensure compliance with security requirements, including STIGs, auditing, and encryption controls.· Maintain detailed documentation for database environments, configurations, and procedures.· Collaborate with application, DevOps, infrastructure, vendors, and client stakeholders.
2026-05-01T00:00:00Z

Data Engineering Manager

Columbus, OH
remote
Permanent / Full Time
110000 - 120000 USD / Yearly
We are looking for an experienced Data Engineering Manager to lead the strategic development and management of our enterprise data warehouse in Columbus, Ohio. This position combines technical expertise with leadership responsibilities to ensure data assets are efficiently structured, integrated, and utilized for operational processes, analytics, compliance, and external partnerships. The ideal candidate will drive innovation while maintaining robust data architecture standards to support the organization's long-term goals. Responsibilities: • Oversee the design, implementation, and optimization of the enterprise data warehouse and associated reporting systems. • Ensure seamless data integration between source systems, analytics platforms, and reporting tools to maintain accuracy and reliability. • Collaborate with various teams to align data structures and solutions with organizational objectives. • Provide strategic direction for data architecture and recommend scalable solutions aligned with industry best practices. • Develop and enforce standards for enterprise reporting, key performance indicators, and consistent data definitions. • Promote uniformity in business rules and metric calculations across departments to ensure credible and authoritative data outputs. • Review and validate data workflows, transformations, and reports to ensure completeness and accuracy. • Identify and implement system improvements to enhance the functionality and efficiency of data platforms. • Address and resolve issues related to data integrity or reporting disruptions, ensuring minimal downtime. • Mentor team members and provide technical guidance to build a highly skilled and capable team.
2026-04-22T00:00:00Z

Data Engineering Manager

San Antonio, TX
remote
Permanent / Full Time
95000 - 115000 USD / Yearly
Additional Skills: Deep hands-on expertise with dbt (Cloud or Core), including model development, testing, macros, packages, documentation, scheduling, and performance optimization. Strong command of dbt project structure, materializations (including incremental models and snapshots), and integration with BI-owned metric certification and semantic layers. Ability to evaluate when to leverage community dbt packages versus building custom solutions. Expert-level SQL for complex analytical transformations and performance optimization. Strong data modeling skills across dimensional (Kimball), Data Vault, and domain-oriented patterns, including temporal modeling, SCDs, and surrogate keys. Proven judgment in balancing normalization vs. denormalization for performance, flexibility, and downstream analytics use cases. Experience designing and implementing automated data quality testing and validation frameworks. Familiarity with data quality tooling (e.g., Great Expectations) and core data quality dimensions across analytics workflows. Familiarity with modern analytics stacks and how analytics engineering integrates with cloud data platforms, ingestion tools, dbt, and BI systems. Working knowledge of DataOps practices such as version control, CI/CD, and automated testing. Knowledge of K–12 education data domains and metrics, including enrollment, attendance, assessments, staffing, and multi-state reporting requirements. Familiarity with education data privacy (FERPA), academic calendars, and operational rhythms. Proven ability to lead technical teams, facilitate requirements and design discussions, and manage competing stakeholder priorities. Strong communication and change management skills, translating technical capabilities into clear business value. Required experience: Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, or a related field, or equivalent practical experience. 7+ years of experience in analytics engineering, data engineering, data analytics, or closely related technical roles. 3+ years of experience in technical leadership or people management, leading analytics, data, or BI teams. Demonstrated hands-on experience with dbt (2+ years) building and maintaining production data models and transformations. Strong data modeling expertise, with a proven track record designing dimensional models, analytics data marts, or business-facing data products. Expert-level SQL skills, including complex analytical queries and performance optimization Experience partnering with non-technical stakeholders to gather requirements and translate them into effective technical solutions. Preferred Education and Experience: Master’s degree in Data Science, Statistics, Computer Science, or a related analytical field. dbt Analytics Engineering certification or equivalent demonstrated expertise Hands-on experience with Snowflake or comparable cloud data warehouse platforms. Experience working with K–12 education data, student information systems, or education analytics. Experience building data solutions for multi-state or geographically distributed organizations. Exposure to data governance practices, including business glossaries and data quality frameworks Familiarity with modern data stack tools (e.g., ingestion, orchestration, BI, and data quality platforms). Experience leading analytics teams using Agile or iterative delivery methodologies.
2026-04-20T00:00:00Z

Data Engineer IV

Philadelphia, PA
onsite
Temporary / Contract
55 - 65 USD / Hourly
Senior Data EngineerLocation: Philadelphia, PA (Hybrid/Onsite as required)Employment Type: 39 Week Contract, Potential for ExtensionPosition OverviewWe are seeking an experienced Data Engineer to support the development and ongoing operation of a large-scale, cloud-based IoT platform. This role focuses on building and supporting scalable, secure, and high‑performance infrastructure, tooling, and frameworks that enable engineering teams to efficiently develop, test, deploy, and operate modern microservices.The ideal candidate brings strong cloud engineering experience, a passion for quality and security, and the ability to collaborate in a fast‑paced Agile environment.Key Responsibilities<ul><li>Develop, operate, and support DevOps and platform engineering tools that enable cloud-based IoT services</li><li>Build and promote horizontal tools, frameworks, and best practices supporting microservices, CI/CD, security, monitoring, and performance</li><li>Collaborate with engineering teams to define development standards, workflows, and methodologies</li><li>Design and implement shared libraries and frameworks to support scalable and highly available systems</li><li>Support production platform operations, troubleshooting, and continuous improvement with focus on quality, performance, and security</li><li>Translate system architecture and product requirements into well-designed, tested software solutions</li><li>Work in an Agile environment delivering incremental, high-quality software</li><li>Provide technical guidance and promote modern engineering practices across teams</li></ul>
2026-05-01T00:00:00Z

Data Analyst

Cleveland, OH
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
We are looking for an experienced Data Analyst to join our team in Cleveland, Ohio. In this role, you will leverage your expertise to design and optimize data solutions, ensuring the seamless integration and accuracy of information across various systems. This is an exciting opportunity to work with cutting-edge technologies and collaborate with diverse teams to drive data-driven decision-making. Responsibilities:• Develop and refine data models to enhance performance and operational efficiency.• Create data warehouse solutions to manage and access structured and unstructured data effectively.• Design, implement, and maintain data integration processes to support analytics and data-driven applications.• Establish and enforce data validation procedures to ensure the reliability and consistency of information.• Partner with business intelligence teams and other stakeholders to gather requirements and deliver tailored data solutions.• Diagnose and resolve issues within data pipelines, including performance bottlenecks and system errors.• Stay informed about advancements in data engineering and analytics to incorporate best practices into workflows.
2026-04-07T00:00:00Z

Data Analyst

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a detail-oriented Systems Analyst to support and optimize enterprise labeling and automation processes. This role plays a critical part in ensuring accuracy, consistency, and compliance across product labeling and operational workflows.
2026-04-23T00:00:00Z

Data Analyst

Houston, TX
onsite
Temporary / Contract
48 - 53 USD / Hourly
Data Analyst – Enterprise Data & MetadataLocation: Houston, TX 77002Work Arrangement: OnsiteSchedule: 1st Shift, 9:00 AM – 5:00 PM Position Overview We are seeking a Data Analyst to support enterprise data initiatives with a strong focus on data understanding, data mapping, and metadata management. This role partners closely with business stakeholders, data engineers, and architects to document data flows, define source‑to‑target mappings, and curate high‑quality metadata using Atlan with Snowflake as the core data platform.The ideal candidate is detail‑oriented, analytically strong, and excels at translating complex data structures into clear, trusted documentation. Success in this role directly improves data transparency, governance readiness, and self‑service analytics across the organization. Key ResponsibilitiesData Mapping & Documentation<ul><li>Create and maintain source‑to‑target mappings, data flow diagrams, and transformation logic for Snowflake data assets.</li><li>Analyze source systems and Snowflake tables to document lineage, relationships, and dependencies.</li><li>Partner with data engineers and architects to validate mappings and align with Snowflake data models.</li></ul>Metadata Management & Atlan<ul><li>Publish and maintain data assets, schemas, tables, columns, and glossary terms in Atlan.</li><li>Document business definitions, ownership, freshness, and usage guidance.</li><li>Curate trusted data catalogs to support governance and self‑service discovery.</li><li>Ensure metadata accuracy, completeness, and consistency across platforms.</li></ul>Data Analysis & Validation<ul><li>Use Snowflake SQL to analyze datasets for completeness, structure, and quality.</li><li>Validate data transformations and downstream usage against documented mappings.</li><li>Support impact analysis by identifying affected assets using lineage and metadata.</li></ul>Collaboration & Enablement<ul><li>Act as a bridge between business, engineering, and governance teams.</li><li>Support governance, observability, and audit readiness through strong documentation.</li><li>Contribute to standards and best practices for enterprise data documentation.</li></ul>
2026-04-21T00:00:00Z

Data Analyst

Lyon Station, PA
onsite
Temporary / Contract
23.75 - 30 USD / Hourly
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Berks County, Pennsylvania. This role is ideal for someone who excels at interpreting data, identifying trends, and delivering actionable insights to support organizational goals. You will play a pivotal role in ensuring data accuracy and optimizing processes through advanced analysis techniques. Responsibilities:• Analyze complex datasets to identify trends, patterns, and insights that guide business decisions.• Perform accurate data entry tasks, ensuring the integrity of numeric information.• Develop and maintain Excel formulas to streamline data processing and reporting.• Generate detailed reports and dashboards tailored to organizational needs.• Collaborate with cross-functional teams to understand data requirements and provide solutions.• Ensure data accuracy and troubleshoot discrepancies in large datasets.• Provide actionable recommendations based on findings from data analysis.• Manage and organize datasets for easy retrieval and future use.• Monitor data workflows and suggest improvements to enhance efficiency.• Maintain confidentiality and security of sensitive information.If interested please send resume on a word dcoumnt to Jim.Kirk@Roberhalf com
2026-04-28T00:00:00Z

Data Analyst

New Orleans, LA
onsite
Permanent / Full Time
70000 - 85000 USD / Yearly
We are looking for a detail-oriented Data Analyst to support data-driven decision-making in New Orleans, Louisiana. This role focuses on transforming raw information into clear reporting, actionable insights, and reliable dashboards for business stakeholders. The ideal candidate is comfortable working across multiple data sources and uses analytical tools to improve visibility into performance and trends. Responsibilities: • Gather, organize, and interpret data from a variety of sources to identify patterns, exceptions, and business opportunities. • Create interactive dashboards and visual reports using Power BI and Tableau to present findings in a clear and meaningful way. • Develop and maintain data integration workflows with SSIS to ensure timely and accurate movement of information between systems. • Analyze operational and business metrics, then translate results into practical recommendations for stakeholders. • Validate data quality by reviewing datasets for completeness, consistency, and accuracy before reporting is delivered. • Partner with technical and business teams to define reporting needs and produce solutions aligned with organizational goals. • Use Microsoft Excel to perform ad hoc analysis, reconciliations, and detailed data reviews when needed. • Document reporting logic, data definitions, and analytical processes to support consistency and ongoing improvements.
2026-04-27T00:00:00Z

Data Analyst

Austin, TX
onsite
Temporary / Contract
55.83 - 80.33 USD / Hourly
Data Analyst On-site | Austin, TX | Contract Responsiblities:<ul><li>Collect, analyze, and interpret large datasets to support business decision‑making</li><li>Develop, maintain, and automate reports, dashboards, and visualizations</li><li>Identify trends, patterns, and insights to drive data‑driven recommendations</li><li>Translate business requirements into clear analytical questions and solutions</li><li>Write and optimize SQL queries to extract and analyze data from multiple sources</li><li>Ensure data accuracy, consistency, and integrity across reports and dashboards</li><li>Partner with stakeholders across departments to understand reporting and analytics needs</li><li>Perform ad‑hoc analyses to support strategic initiatives and executive requests</li><li>Document data definitions, metrics, and reporting processes</li><li>Continuously improve data quality, reporting efficiency, and analytical processes</li></ul>
2026-04-29T00:00:00Z

Data Analyst

Madison, WI
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
Robert Half is seeking a detail-oriented Data Analyst for our partner in the Madison area. This role will support data quality, reporting, and governance initiatives within an enterprise ERP environment. This role focuses on maintaining accurate master data, improving data processes, and supporting reporting and analytics efforts across the organization. The ideal candidate enjoys working with data, identifying process improvements, and collaborating with stakeholders to ensure data is reliable, consistent, and actionable. This is a Direct/Permanent Hire role that will require an in-office work schedule (Mon-Fri). Key Responsibilities<ul><li>Monitor and maintain ERP master data to ensure accuracy, consistency, and completeness</li><li>Identify data quality issues such as duplicates, inconsistencies, and missing information and support remediation efforts</li><li>Partner with internal teams to support data cleansing, standardization, and data governance initiatives</li><li>Develop and maintain reports and dashboards to track data quality metrics and operational needs</li><li>Create and maintain documentation including data dictionaries and data definitions</li><li>Support ERP system initiatives including data validation, testing, and migration activities</li><li>Assist with adoption of data management standards, processes, and tools</li><li>Provide support to business users regarding data-related questions and reporting needs </li></ul>
2026-04-08T00:00:00Z

Data Analyst

New York, NY
onsite
Temporary to Hire
19.7885 - 22.913 USD / Hourly
We are looking for a detail-oriented Data Analyst to join a long-established electrical construction organization in New York, New York. This contract position with permanent potential focuses on maintaining accurate financial and operational records while supporting accounts payable, purchasing, and, as needed, payroll-related data tasks. The ideal candidate brings strong data entry accuracy, comfort working with high volumes of information, and the ability to stay organized in a fast-paced office environment. Responsibilities: • Enter and update large volumes of financial and purchasing information with a high degree of accuracy and timeliness. • Support accounts payable processing by recording invoice details, verifying entries, and helping maintain organized payment records. • Assist with purchasing documentation by inputting order information, tracking records, and keeping related data current. • Provide additional administrative data support for payroll activities when needed, ensuring information is complete and properly entered. • Review submitted data for inconsistencies or missing details and follow up to help maintain reliable records. • Organize and maintain spreadsheets, databases, and internal files used for reporting and daily operations. • Work closely with accounting and operations staff to ensure information is entered correctly and aligned with business needs.
2026-05-01T00:00:00Z

Data Analyst

Saint Louis, MO
onsite
Temporary / Contract
48 - 70 USD / Hourly
Robert Half is seeking a results-driven Data Analyst for a dynamic organization in St. Louis, Missouri. If you have a passion for uncovering actionable insights, proficiency with advanced analytics tools, and enjoy collaborating to support business strategy, we want to hear from you. This opportunity offers the chance to join a team shaping the future of data-driven decision making. Key Responsibilities:· Collect, analyze, and interpret complex data sets utilizing advanced statistical methods and data visualization tools.· Generate business insights and present clear, actionable recommendations to stakeholders.· Develop and maintain dashboards and reports using tools such as Power BI, SQL, Excel, and others.· Collaborate cross-functionally with IT, Finance, Operations, and other business units to solve critical business challenges.· Identify trends, patterns, and opportunities for process improvements and new initiatives.
2026-04-17T00:00:00Z

Data Analyst

Philadelphia, PA
onsite
Temporary to Hire
20 - 23 USD / Hourly
Robert Half is seeking a meticulous a Data Analyst to support equipment finance activities for a contract opportunity with permanent potential based in Philadelphia, Pennsylvania. This Data Analyst role centers on reviewing business and account information, confirming data accuracy across financial platforms, and helping maintain dependable records for reporting and operational use. The ideal Data Analyst candidate is highly detail-oriented, comfortable working with large datasets, and able to spot inconsistencies that could affect finance or fraud-related analysis. Click the apply button today and put your talents to the test. If you have any questions, please contact Robert Half at 215-568-4580 and mention job reference #03720-0013428417. As a Data Analyst Your Responsibilities will include but are not limited to:• Review account and company records across Salesforce and internal data sources to confirm completeness, accuracy, and proper classification. • Investigate discrepancies, missing details, and conflicting information, then update records or escalate issues for resolution. • Validate that organizations tied to accounts are legitimate equipment-selling businesses and flag records that appear questionable. • Perform structured data quality checks that strengthen reporting reliability for operations and finance stakeholders. • Partner with cross-functional teams to clarify record issues, support accurate financial information, and improve overall data confidence. • Document findings, corrections, and recurring data issues to support audit readiness and process refinement. • Use Excel and other data tools to analyze record sets, identify patterns, and support efficient validation work. • Contribute to fraud-aware data review efforts by recognizing suspicious inconsistencies and escalating potential risk indicators when necessary.
2026-04-29T00:00:00Z

Data Analyst

Avenel, NJ
onsite
Permanent / Full Time
80000 - 85000 USD / Yearly
We are looking for a skilled Data Analyst to join our team. In this role, you will transform complex datasets into actionable insights that drive business decisions. This position offers an exciting opportunity to collaborate with stakeholders while leveraging advanced tools and techniques to optimize data processes. Responsibilities:• Design, implement, and manage data pipelines and reporting systems to support strategic decision-making.• Develop and maintain interactive dashboards and reports using Power BI to monitor and visualize key metrics.• Utilize SQL to extract, transform, and analyze data from diverse sources, ensuring accuracy and consistency.• Create Python scripts to automate data workflows, perform analysis, and improve operational efficiency.• Partner with stakeholders to understand reporting requirements and translate them into effective technical solutions.• Conduct data quality assessments and establish validation protocols to ensure data reliability.• Document data processes, methodologies, and technical specifications for future reference.• Analyze datasets to uncover trends, patterns, and anomalies, providing actionable insights and recommendations.
2026-04-07T00:00:00Z

Data Analyst

Philadelphia, PA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations. Responsibilities: • Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems. • Develop and implement fraud detection models using advanced analytics tools and techniques. • Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions. • Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively. • Generate comprehensive reports and dashboards to present findings and support decision-making. • Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols. • Optimize data workflows and processes to enhance efficiency and accuracy. • Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis. • Provide recommendations to improve system integrity and prevent future fraudulent activities.
2026-04-30T00:00:00Z

Data Analyst

Mechanicsville, VA
onsite
Temporary / Contract
40 - 45 USD / Hourly
We are looking for a Data Analyst to join a Contract assignment in Mechanicsville, Virginia. This position focuses on evaluating financial and operational data tied to Azure cloud services and on-premises infrastructure, helping teams make informed decisions around forecasting, budgeting, and cost efficiency. The ideal candidate brings strong analytical capability, comfort with financial reporting, and the ability to turn complex data into clear business insights. Responsibilities: • Examine cloud and infrastructure spending data to identify trends, usage patterns, and cost drivers across Azure and on-premises environments. • Build and refine Power BI dashboards and reporting tools that highlight budget performance, workload efficiency, and the financial impact of server-related changes. • Compare forecasted and actual technology spend on a monthly and annual basis, investigating variances and surfacing potential savings opportunities. • Maintain and improve reporting datasets by consolidating information from sources such as Apptio, Azure platforms, and SharePoint while preserving data quality. • Create clear documentation for recurring reporting methods, analytical workflows, and financial data management practices. • Partner with cloud operations, infrastructure teams, and finance stakeholders to ensure cost models reflect real operational conditions and business priorities. • Support migration and capacity planning efforts by modeling future cost scenarios and estimating resource needs for Azure environments. • Provide analysis that supports FinOps initiatives, including insights into utilization behavior, billing trends, and optimization opportunities.
2026-05-04T00:00:00Z

Data Automation Engineer

Houston, TX
remote
Temporary / Contract
39 - 44 USD / Hourly
Position OverviewWe are seeking a delivery‑focused Data Automation Engineer to design and implement innovative automation solutions across a Microsoft Azure‑based data analytics platform. This role partners closely with engineering teams and stakeholders to translate business requirements into scalable data engineering and AI‑enabled solutions.The ideal candidate is hands‑on with Azure Data Factory, Synapse Pipelines, Apache Spark, Python, and SQL, and brings experience building reliable ETL pipelines across SQL and NoSQL environments. This role emphasizes performance optimization, automation, and proactive data quality within Agile DevOps delivery models. Key ResponsibilitiesData Engineering & Automation<ul><li>Develop high‑performance data pipelines using Azure Data Factory, Synapse Pipelines, Spark Notebooks, Python, and SQL.</li><li>Design ETL workflows supporting advanced analytics, reporting, and AI/ML use cases.</li><li>Implement data migration, integrity, quality, metadata, and security controls across pipelines.</li><li>Monitor, troubleshoot, and optimize pipelines for availability, scalability, and performance.</li></ul>Performance Testing & Optimization<ul><li>Execute ETL performance testing and validate load performance against benchmarks.</li><li>Analyze pipeline runtime, throughput, latency, and resource utilization.</li><li>Support tuning activities (e.g., query optimization, partitioning, indexing).</li><li>Validate data completeness and consistency after high‑volume processing.</li></ul>Platform Collaboration & DevOps Support<ul><li>Collaborate with DevOps and infrastructure teams to optimize compute, memory, and scaling.</li><li>Maintain versioning and configuration control across environments.</li><li>Support production, testing, development, and integration environments.</li><li>Actively participate in Agile delivery processes including Program Increment planning.</li></ul>
2026-04-20T00:00:00Z

Database Platform Engineer

Eden Prairie, MN
remote
Permanent / Full Time
140000 - 164000 USD / Yearly
Position: Database Platform Engineer Location: Remote - Full Time | Direct Hire Salary: $140,000 - 164,000 base + 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. *** This is not a traditional DBA. This is a: Cloud‑native database platform engineer + architect + automation leader Core Focus Areas • AWS‑first database architecture (RDS, Aurora, PostgreSQL, DynamoDB, Redshift) • Legacy → cloud modernization • Microservice‑aligned data modeling & DDD • Performance, HA, DR, global resiliency • Event‑driven data, CDC, real‑time streaming • Infrastructure as Code & CI/CD for databases • Security, governance, compliance at scale • Enablement of product & engineering teams What Makes This Role Special • Embedded in a 0→1 product launch • Think start-up like feel in a Fortune 500 financial sound and thriving organization • Works directly with: ○ Product Engineers ○ Platform / DevOps ○ Data Integration • Owns foundational data platform standards • Shapes how databases are built from day one • AWS preferred even though enterprise is Azure Reporting Line • Reports to Sr Manager of Data Engineering & Integration • No direct reports (but strong mentorship & tremendous opportunities for advancement) *** 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. ***
2026-04-14T00:00:00Z

Software Developer / Data Engineer

Huntsville, AL
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
A top-tier client of ours is seeking a Software Developer / Data Engineer to play a key role in supporting mission-critical data systems within a government intelligence environment. You’ll design and deliver high-performance data pipelines and architectures that drive advanced analytics and real-time insights. Key Responsibilities Design and implement scalable data pipelines and data architectures Develop and optimize data storage solutions (SQL, NoSQL, graph databases) Support ETL processes and ensure efficient data throughput and performance Work closely with stakeholders to translate data requirements into technical solutions Maintain and enhance data infrastructure using tools like Apache Airflow and Docker
2026-04-23T00:00:00Z

Database Developer

Becker, MN
onsite
Temporary / Contract
55 - 65 USD / Hourly
We are looking for an experienced Database Developer to support data operations and reporting needs for a Long-term Contract position based in Becker, Minnesota. This role will work closely with teams across the business to deliver reliable database solutions, investigate data issues, and improve the performance of critical SQL Server processes. The ideal candidate brings strong technical judgment, communicates effectively with both business and technical partners, and is comfortable working in a collaborative Agile environment. Responsibilities: • Collaborate with business and technical teams to understand data needs, clarify priorities, and deliver practical database solutions that support daily operations. • Act as a go-to resource for Microsoft SQL Server guidance, offering technical insight and recommendations to improve database-related processes and outcomes. • Build and refine complex queries and reporting logic to provide accurate data for recurring reports, ad hoc requests, and business analysis. • Investigate data discrepancies across workflows, validate results, and resolve issues that affect reporting accuracy and operational decision-making. • Develop, test, and maintain stored procedures, views, functions, triggers, and other database objects to support scalable and efficient applications. • Improve existing database code through tuning, refactoring, and indexing strategies that enhance speed, stability, and long-term maintainability. • Troubleshoot locking, blocking, deadlocks, and other SQL Server performance issues using execution plan analysis and resource monitoring. • Participate in Agile team activities such as sprint planning, stand-ups, backlog review, and retrospectives while contributing to documentation and coding standards.
2026-04-30T00:00:00Z

Database Developer

Fairport, NY
onsite
Permanent / Full Time
80000 - 110000 USD / Yearly
We are looking for an experienced Database Developer to join our team in Rochester, New York. This role involves designing, maintaining, and enhancing database applications, as well as troubleshooting issues to ensure seamless system performance. The ideal candidate will have a strong technical background and the ability to collaborate effectively with business stakeholders and team members. Responsibilities:• Design, enhance, and maintain custom database applications to support business needs.• Troubleshoot and resolve production issues, ensuring timely and effective resolution.• Collaborate with business stakeholders to understand challenges and recommend technical solutions.• Mentor and guide team members to improve their technical and procedural skills.• Generate ad-hoc reports and ensure data integrity across systems and applications.• Write and maintain comprehensive functional and technical documentation.• Provide end-user support to enhance their proficiency with database applications.• Monitor application system functionality to maintain system synergy and operational efficiency.• Ensure adherence to the software development lifecycle and company compliance standards.• Keep management informed of potential operational changes that may impact deliverables.
2026-04-07T00:00:00Z

Database Developer

Lehi, UT
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
We are looking for a Staff Database Engineer to support the design, migration, and optimization of modern data platforms. This role focuses on moving database workloads into cloud environments, building reliable data pipelines, and enabling scalable access to large and complex datasets for downstream applications. The ideal candidate combines strong hands-on development skills with practical architecture knowledge across NoSQL, in-memory, and AI-oriented data technologies. Responsibilities:• Lead database migration efforts into AWS-based environments, including planning, execution, and post-migration validation across modern data platforms.• Build and maintain data pipelines that process high-volume, complex information and deliver dependable outputs to consuming services and presentation layers.• Develop backend solutions using Python to automate database operations, streamline workflows, and improve data movement efficiency.• Work with DynamoDB, DocumentDB, and related NoSQL technologies to design scalable data models and support application performance needs.• Implement and optimize Redis, ElastiCache, MemoryDB, or similar in-memory data stores, including use cases tied to AI or vector-based workloads.• Partner with technical teams to translate architectural goals into practical cloud-based database implementations rather than high-level concepts alone.• Support search and data retrieval capabilities through technologies such as Solr and related indexing platforms used in production environments.• Create and maintain scripts for automation, deployment, and operational support using shell scripting and other command-line tools as needed.
2026-05-01T00:00:00Z

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