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Entry Data Engineer Jobs in Washington (NOW HIRING)

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Data Engineer

Washington, DC · Remote

$98K - $128K/yr

Data Engineer / Data Project Lead Location: Remote Position Summary The Data Engineer / Data ... Entry Support Specialists. * Design, build, and maintain data pipelines, integrations, and ...

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The Data Entry Support Specialist works under the direction of the Data Management Specialist and Data Engineer/Data Project Lead. Primary Responsibilities: * Perform accurate and timely data entry ...

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Programming languages such as Python(inclusive of libraries that are used in data science e.g ... Establishing and integrating large datasets, data entry , data conditioning and cleaning, data ...

Data Entry Engineering Coordinator - ERP & Procurement The Data Entry Engineering Coordinator - ERP & Procurement ensures the accuracy, consistency, and timeliness of procurement-related data within ...

Your mission will be to enhance and optimize data entry, management and extraction within this ... Programming and Software Engineering * Strong proficiency in Python and SQL for data processing ...

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Your mission will be to enhance and optimize data entry, management and extraction within this ... Programming and Software Engineering * Strong proficiency in Python and SQL for data processing ...

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Your mission will be to enhance and optimize data entry, management and extraction within this ... Programming and Software Engineering * Strong proficiency in Python and SQL for data processing ...

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Entry Data Engineer information

See Washington salary details

$12

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How much do entry data engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for entry data engineer in Washington is $22.06, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.76 per hour, depending on experience, location, and employer.

What is the difference between Entry Data Engineer vs Data Analyst?

AspectEntry Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; knowledge of SQL, Python, ETL toolsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting teams, data visualization tools
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, consulting, retail

Entry Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data to generate insights. Both roles require SQL and data handling skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on analysis and reporting.

What are the key skills and qualifications needed to thrive as an entry data engineer?

To thrive as an Entry Data Engineer, you need a solid understanding of programming (often Python or SQL), data structures, and database fundamentals, typically supported by a relevant degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or Azure), and version control systems like Git is commonly required. Strong analytical thinking, attention to detail, and effective communication help you collaborate with teams and troubleshoot data issues. These skills are crucial to ensure high-quality, efficient data pipelines and enable data-driven decision-making within organizations.

What are some common challenges faced by entry data engineers during their first year on the job?

Entry-level data engineers often encounter challenges such as learning new data pipeline tools, understanding complex legacy systems, and adapting to the fast pace of data-driven environments. Balancing requests from multiple stakeholders and ensuring data accuracy can also be demanding, especially when dealing with large datasets. However, most teams provide mentorship and training to help new hires get up to speed, and collaboration with experienced engineers is encouraged to support skill development.

What does an entry data engineer do?

An Entry Data Engineer is responsible for assisting in the design, development, and maintenance of data pipelines and databases. They work with raw data, helping to clean, organize, and prepare it for analysis by more senior engineers or data scientists. Their tasks often include writing basic SQL queries, automating data collection processes, and supporting data quality initiatives. Entry-level data engineers typically work under the guidance of more experienced team members to learn best practices and develop their technical skills.
What are popular job titles related to Entry Data Engineer jobs in Washington? For Entry Data Engineer jobs in Washington, the most frequently searched job titles are:
Infographic showing various Entry Data Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $45,875 per year, or $22.1 per hour.

Data Engineer

ResolveSoft Inc

Washington, DC • Remote

$98K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

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Job description

Position: Data Engineer / Data Project Lead
Location: Remote

Position Summary

The Data Engineer / Data Project Lead provides technical leadership for data management and data engineering activities under the Client’s National Customer Service Improvement Project (CSIP). This role is responsible for leading the design, development, integration, maintenance, and continuous improvement of data pipelines, workflow and task management solutions, and analytical tools that support the Client’s grants management, oversight, and decision-making needs.

The Data Engineer / Data Project Lead oversees data-focused staff assigned to the contract, ensures high-quality, secure, and sustainable data solutions, and applies user-centered, iterative approaches to data project delivery in alignment with federal policies and system requirements.

 

Primary Responsibilities

  • Lead planning, execution, and delivery of data management and data engineering projects supporting OHS program oversight and operations.
  • Apply iterative and flexible project management approaches to prioritize work based on value, user needs, and level of effort.
  • Coordinate closely with the Project Manager to align data project priorities with contract deliverables and performance metrics.
  • Supervise and provide technical direction to data-focused staff, including Data Analysts, Data Visualization Specialists, Data Management Specialists, and Data Entry Support Specialists.
  • Design, build, and maintain data pipelines, integrations, and automation processes using federally compliant tools and platforms.
  • Support integration of data from federal systems such as HSES, AMS, GrantSolutions, and the TTA Hub into operational and analytical tools.
  • Maintain and enhance workflow and task tracking solutions, including Smartsheet-based tools (e.g., SmartFlow).
  • Support the use of the Client’s Data Layer and cloud-based infrastructure to enable scalable, secure data processing and analysis.
  • Ensure data accuracy, integrity, and alignment across systems, mitigating competing sources of truth.
  • Implement and support data quality assurance, validation processes, and governance practices appropriate for federal environments.
  • Ensure documentation of data structures, pipelines, and processes to support knowledge transfer and continuity.
  • Lead development of data products, dashboards, reports, and automated outputs that support grants management, monitoring, and leadership decision-making.
  • Support generation of standardized documents and correspondence through automated data integration where appropriate.
  • Enable data-informed decision-making through improved access to timely, relevant, and well-structured data.
  • Analyze data workflows and business processes to identify opportunities for efficiency, automation, and improvement.
  • Develop and maintain technical documentation, data dictionaries, process documentation, and handoff materials.
  • Support the development of training materials and guidance to promote consistent use of data tools and solutions.
  • Respond to data-related inquiries and support ad hoc and recurring data requests from Client staff and leadership.
  • Participate in briefings, meetings, and planning sessions related to data management initiatives.
  • Support coordination across technical and programmatic teams to ensure solutions align with operational needs.

Required Qualifications

  • Bachelor’s degree in computer science, information systems, data science, or a related field from an accredited institution.
  • 10+ years of progressively responsible post-baccalaureate professional experience in data engineering, data management, or related technical roles.
  • 3+ years of supervisory or technical team leadership experience.
  • 3+ years of experience designing and managing complex, high-profile, multi-faceted data projects.
  • 3+ years of experience with data integration, ETL processes, database design, and data pipelines.
  • 1+ years of experience in early childhood education and/or Head Start programs.
  • US government-issued security clearance required (will be initiated upon hire)
  • Valid driver’s license and ability to pass an MVR check.

Preferred Qualifications

  • Experience supporting federal information systems or federal grant programs.
  • Experience in applying AI or advanced analytics in data pipelines.
  • Demonstrated ability to communicate technical concepts clearly to both technical and non-technical audiences.
  • Proven ability to address team and stakeholder issues and support problem resolution.
  • Proficiency in SQL and at least one programming language (e.g., Python).
  • Experience with APIs, data integration, and automation tools.
  • Experience with cloud platforms (e.g., AWS, Azure).
  • Knowledge of data governance, security, and federal information system requirements.
  • Familiarity with project management methodologies; Agile/Scrum experience preferred.


Company Description

Our mission is to empower our clients to achieve sustainable success through efficient, cost-effective, and scalable solutions that drive significant performance improvements. We believe in delivering value-driven results and fostering a culture that attracts and retains top talent to provide scalable, adaptable services.