Senior Software Engineer - Data Engineer
Janea Systems
•Remote
About The Position
Janea Systems is seeking a Senior Software Engineer - Data Engineering to join its consulting team. The role designs, builds, and maintains data infrastructure for analytics, reporting, and product features, transforming raw data into reliable, well-modeled, accessible datasets. The engineer owns ETL/ELT pipelines end-to-end, with an emphasis on data quality and reliability. This is a 100% remote, full-time position with flexible working hours. The role is part of the Engineering Team and reports to a Team Lead. No business travel is necessary.
Requirements
- At least 4 years of professional experience in data engineering or a closely related discipline.
- Strong proficiency in SQL.
- Strong proficiency in at least one programming language commonly used for data engineering, such as Python, Scala, or Java.
- Hands-on experience building and operating ETL/ELT pipelines in a production environment.
- Experience working with cloud data platforms such as AWS, GCP, or Azure.
- Experience with modern data warehousing tools.
- Solid understanding of data modeling, data quality, and pipeline orchestration concepts.
- Comfort working with large, complex datasets and independently diagnosing data issues.
Nice To Haves
- Experience with orchestration tools such as Airflow, Dagster, or similar.
- Familiarity with streaming data technologies such as Kafka or Kinesis.
- Experience with dbt or similar transformation frameworks.
- Exposure to infrastructure-as-code practices such as Terraform.
- Prior experience directly supporting analytics or data science teams.
Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and deliver data from internal and external sources.
- Develop and optimize data models and schemas for analytics, reporting, and downstream application needs.
- Monitor pipeline health and troubleshoot data quality issues.
- Implement alerting and observability practices.
- Partner with analytics, product, and engineering teams to understand data needs and translate them into durable data solutions.
- Improve the performance, scalability, and cost-efficiency of existing data infrastructure.
- Write clear technical documentation.
- Contribute to team standards for testing, code review, and deployment.
- Participate in on-call or incident response rotations as needed to support production data systems.
Benefits
- Competitive compensation with benefits, paid vacation, and sick leave.
- Generous office equipment allowance for working from home.
- Option to use a desk at a nearby office or coworking facility.
- Flexible working hours.
- Opportunities for professional growth and development.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
