Software Engineer - Data Engineer

Janea Systems; United States; Remote; USD 130,000 - 170,000; Full time

Benefits offered by this job

Office equipment allowance

Home/office workspace options

Vacation and sick leave

Job summary

Janea Systems in the United States is seeking a Senior Software Engineer - Data Engineering to join our remote consulting team. You will design, build, and maintain the data infrastructure powering analytics, reporting, and product features, owning end-to-end ETL/ELT pipelines with emphasis on data quality and reliability.

You will work with cloud data platforms (AWS, GCP, Azure), modern data warehousing tools, and orchestration frameworks, collaborating with analytics, product, and engineering

Qualifications

• 4+ years of professional experience in data engineering.
• Strong SQL proficiency.
• Proficiency in Python, Scala, or Java.
• Experience building ETL/ELT pipelines in production.
• Experience with cloud data platforms (AWS, GCP, Azure).
• Experience with modern data warehousing tools.
• Understanding of data modeling and data quality.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop and optimize data models and schemas for analytics and downstream apps.
• Monitor pipeline health and troubleshoot data quality issues.
• Implement alerting and observability practices.
• Collaborate with analytics, product, and engineering teams to translate data needs into durable solutions.
• Improve performance, scalability, and cost-efficiency of data infrastructure.
• Write clear technical documentation.
• Contribute to testing, code reviews, and deployment standards.
• Participate in on-call rotations to support production data systems.

Skills

SQL

Python

ETL/ELT

Cloud platforms

Data modeling

Data quality

Pipeline orchestration

Big data

On-call support

Tools

Airflow

Dagster

Kafka

Kinesis

dbt

Terraform

Job description

Описание: 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%

Задачи:

• 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

Требования:

• 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

Условия:

• Work Schedule - Full time/ Flexible working hours
• Reports to - Team Lead
• Member of - Engineering Team
• 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.