Senior Data Engineer: Pipelines & Modernization

Akkodis; Washington (District of Columbia); On-site; USD 96,432 - 110,208; Full time

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

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.