Truelogic Software is looking for a Data Engineer to join our Corporate Data team. You will enable data-informed decision-making by scaling and maintaining the corporate people data warehouse, supporting analytics and reporting used by teams across the organization.
What You'll Do
- Design, build, and maintain scalable data infrastructure to support analytics and reporting.
- Develop and operate ETL pipelines to ingest, transform, and deliver large-scale datasets.
- Work with distributed data processing frameworks such as Spark, Hive, or similar MPP architectures.
- Use SQL and data modeling techniques to structure and optimize datasets for analytics.
- Process and analyze large volumes of structured and semi-structured data using tools like Spark and Presto.
- Write production-quality code using Python, Java, Scala, or Go.
- Ensure data reliability and availability, operating and monitoring hundreds of ETL pipelines with strict SLAs.
- Investigate and resolve complex data issues, including root-cause analysis of pipeline failures or data inconsistencies.
- Partner closely with Data Analysts and cross-functional stakeholders to provide reliable datasets and guide them in using data effectively.
- Troubleshoot data issues in dashboarding tools like Tableau, Power BI, or MicroStrategy and propose solutions.
What We're Looking For
- 5+ years of experience in Data Engineering, building and maintaining data infrastructure and pipelines.
- Strong expertise in SQL, including joins, aggregations, unions, and window functions.
- Hands-on experience with data modeling and schema design for analytical systems.
- Experience building ETL pipelines using Airflow or similar orchestration tools.
- Experience with Big Data ecosystems, including Hadoop, Hive, Spark, or related technologies.
- Programming experience in Python, Java, Scala, or Go.
- Familiarity with UNIX/Linux environments and shell scripting.
- Understanding of software engineering best practices, including testing, monitoring, and documentation.
- Strong collaboration and communication skills when working with analysts and cross-functional stakeholders.
- Ability to troubleshoot and resolve data issues across pipelines and BI tools.
Nice to Have
- Degree in Computer Science or a related field.
- Experience working in fast-paced, high-growth technology companies.
- Familiarity with real-time data ingestion frameworks such as Kafka or Flume.
- Experience supporting data science or advanced analytics teams.
- Knowledge of industry best practices for large-scale ETL and data platform architecture.
- Strong interest in data science and emerging data technologies.
Technical Stack
- SQL, Spark, Hive, Hadoop, Airflow
- Python, Java, Scala, Go
- Presto, Tableau, Power BI, MicroStrategy
- UNIX/Linux
Team & Environment
You will be part of the Corporate Data team, which partners closely with Data Analysts and cross-functional stakeholders across the organization.
Benefits & Compensation
- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD.
- Paid Time Off: Our paid time off policies ensure you have the chance to unwind and recharge when needed.
- Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
- Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Work Mode
This is a global remote position.
Truelogic Software is an equal opportunity employer.
