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Salary
≈ $79k – $207k per year (Estimated)
Location
Remote (Europe)
Seniority
Senior · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 26, 2026. Janea Systems scores C on the Alion truth index.

Overview
Company
Impact
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Expert AI, data, open source, and software consultancy providing mission-critical enterprise software solutions. We specialize in complex projects from kernel to cloud. Let's discuss your software challenges today.

Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators, from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.

We are seeking an exceptionally talented Senior Software Engineer - Data Engineering to join our rapidly growing consulting team. You will design, build, and maintain the data infrastructure that powers analytics, reporting, and product features, turning raw data into reliable, well-modeled, and accessible datasets. You will own ETL/ELT pipelines end-to-end, with equal focus on data quality and reliability.

Location - Remote 100%

Compensation - Salary

Work Schedule - Full time/ Flexible working hours

Reports to - Team Lead

Member of - Engineering Team

To be considered for this position, you must have the following qualifications:

  • 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 (e.g., Python, Scala, or Java)

  • Hands-on experience building and operating ETL/ELT pipelines in a production environment

  • Experience working with cloud data platforms (e.g., 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 diagnosing data issues independently

Ideal candidates will also have:

  • Experience with orchestration tools such as Airflow, Dagster, or similar

  • Familiarity with streaming data technologies (e.g., Kafka, Kinesis)

  • Experience with dbt or similar transformation frameworks

  • Exposure to infrastructure-as-code practices (e.g., Terraform)

  • Prior experience supporting analytics or data science teams directly

Responsibilities:

  • Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and deliver data from a variety of internal and external sources

  • Develop and optimize data models and schemas that support 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 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

Why join Janea? Because world-class talent deserves world-class opportunities. What we offer:

  • Competitive compensation with benefits, paid vacation, and sick leave.

  • The opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineering challenges.

  • Ultra-flexible working conditions - we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary.

  • An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.

  • Flexible working hours - as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.

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