Senior Remote Data Platform Engineer-Pipelines & Automation
Virtasant
Austin (TX)
On-site
USD 120,000 - 160,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Benefits offered by this job
Totally remote
Stable, long-term contract
Work hours – US Eastern time
Job summary
Virtasant is seeking a Senior Data Engineer to work on client Data Platform. Candidates must have 7+ years in data engineering with strong expertise in Python, SQL, and data pipeline tools like Airflow and Snowflake. This fully remote role requires a solid understanding of cloud technologies like AWS and proven experience in building scalable data solutions. The position offers a stable contract and works during US Eastern time hours.
Qualifications
7+ years of experience in data engineering or software development.
Strong programming skills in Python and SQL.
Deep experience with streaming and distributed compute.
Solid grasp of CI/CD and Docker.
At least 2 years of experience in AWS.
Responsibilities
Develop scalable backend services, APIs, and internal tools.
Integrate tools with core data infrastructure.
Build visualization and monitoring components for data lineage.
Work cross-functionally with data engineering and DevOps teams.
Skills
Python
SQL
Airflow
Spark
Kafka
Snowflake
CI/CD
Docker
dbt
Job description
Virtasant is seeking a Senior Data Engineer to work on client Data Platform. Candidates must have 7+ years in data engineering with strong expertise in Python, SQL, and data pipeline tools like Airflow and Snowflake. This fully remote role requires a solid understanding of cloud technologies like AWS and proven experience in building scalable data solutions. The position offers a stable contract and works during US Eastern time hours.