Data Engineer

Akkodis

Washington (District of Columbia)

On-site

USD 96,432 - 110,208

Full time

14 days+

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Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401K plan

Paid Sick Leave

Job summary

A technology solutions firm is seeking an experienced Data Engineer based in Washington, DC. The candidate must have a Bachelor's degree in Computer Science or related field and at least 8 years of professional experience in data engineering. Responsibilities include developing data pipelines and workflows, supporting data modernization initiatives, and collaborating with various teams to document data architecture. A strong background in ETL/ELT frameworks and data governance is essential. The pay range is $70-$80 per hour based on experience.

Qualifications

Minimum 8+ years of experience in data engineering or related fields.
Proven experience in designing and developing data pipelines.
Ability to document data flows and dependencies.

Responsibilities

Develop and maintain data pipelines and workflows.
Support data modernization initiatives and migration.
Collaborate with teams to document data architectures.

Skills

Data pipeline development

ETL/ELT frameworks

Python

SQL

Data transformation

Data governance

Problem solving

Education

Bachelor's degree in Computer Science or related field

Job description

Akkodis is seeking a Data Engineer for our client based out in Washington DC.

Pay Range: $70‑$80/hr on W2 without benefits. The pay may be negotiable based on experience, education, geographic location, and other factors.

Key Responsibilities

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field from an accredited institution.
Minimum 8+ years of professional experience in data engineering, data integration, or related technical disciplines, including 3+ years in a leadership or senior capacity.
Proven experience designing and developing data pipelines, data transformations, and end-to-end data workflows.
Hands‑on experience with relational and non‑relational databases and modern data storage technologies.
Ability to document data flows, data dependencies, and technical processes to support business process analysis and system architecture.
Experience supporting data‑intensive environments such as analytics, research, financial systems, or regulatory platforms.
Strong experience with ETL/ELT frameworks and programming languages used for data pipeline development such as Python, SQL, R, Scala, or Perl.
Understanding of data governance, data quality, metadata management, and access control frameworks.
Experience collaborating with business analysts, enterprise architects, and cross‑functional teams to document current‑state and future‑state data architectures and processes.
Ability to support data modernization initiatives and migration from legacy data environments.
Experience working in Agile, hybrid, or iterative development environments, delivering incremental solutions with cross‑functional collaboration.
Strong analytical, troubleshooting, and problem‑solving abilities.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short‑term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client‑recruited jobs and jobs that are direct hires to a client.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: