At a Glance
- Tasks: Build innovative data pipelines and orchestrate quality checks for AI evaluations.
- Company: Join Mercor, a leader in AI partnerships and data engineering.
- Benefits: Earn up to $125/hr with flexible part-time hours and growth opportunities.
- Other info: Work remotely from the US or Canada in a dynamic, supportive environment.
- Why this job: Make a real impact in AI while advancing your data engineering skills.
- Qualifications: 3+ years in data engineering; expertise in dbt, Airflow, or warehouse design.
The predicted salary is between 9000 - 12500 £ per month.
Mercor is partnering with leading AI labs to advance frontier agent evaluations in data engineering. As a Data Engineering Expert, you'll build long-horizon pipeline tasks that mirror the work you already do, each paired with a deterministic rubric that grades agent performance against verifiable ground truth. Tasks need to have checkable answers; no open-ended essays, no subjective judgment calls.
Expect to build scenarios across:
- Pipelines: ETL/ELT and dbt models that produce a specified output table, incremental logic with defined watermark behavior
- Orchestration and quality: Airflow/Dagster DAGs that pass a test suite, data quality tests with known pass/fail cases
- Warehouse design: schemas matching a defined contract, performance targets tied to a measured query-time budget
Who we're looking for:
- BS or MS in CS or related; 3+ years in data engineering or analytics engineering
- Expertise in one or more of the following: dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), data quality and testing
- Comfortable reading and producing data engineering artifacts: dbt models, DAGs, schema docs, data contracts, test suites
- Clear written communication; can articulate reasoning step by step and encode it into deterministic rubrics
- Located in the United States or Canada
Compensation: $90–$125/hr depending on domain depth and prior experience. Strong contributors are promoted based on task quality and throughput.
Senior Data Engineer | Upto $125/hr Part-time employer: Obsidian
Mercor is an exceptional employer for Senior Data Engineers, offering a dynamic work culture that fosters innovation and collaboration with leading AI labs. With competitive compensation and a focus on employee growth, you will have the opportunity to advance your skills in data engineering while contributing to meaningful projects that shape the future of technology. Located in the United States or Canada, Mercor provides a flexible part-time role that values your expertise and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer | Upto $125/hr Part-time
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving ETL/ELT processes or pipeline orchestration. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with tools like dbt, Airflow, and data warehouse design. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities waiting for talented data engineers like you. Plus, it’s a great way to ensure your application gets noticed!
We think you need these skills to ace Senior Data Engineer | Upto $125/hr Part-time
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in data engineering, especially with tools like dbt and Airflow. We want to see how your experience aligns with the tasks you'll be tackling, so don’t hold back!
Be Clear and Concise:Since clear written communication is key for us, ensure your application is straightforward and easy to read. Use bullet points if needed to break down your experience and skills.
Tailor Your Application:Don’t just send a generic application! Tailor it to reflect how your background fits the specific requirements of the role. Mention relevant projects or experiences that showcase your abilities.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Obsidian
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like dbt, Airflow, and data warehousing solutions. Brush up on your ETL/ELT processes and be ready to discuss how you've implemented these in past projects.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that test your problem-solving skills. Think about specific examples from your experience where you’ve built pipelines or orchestrated workflows, and be ready to explain your thought process step by step.
✨Showcase Your Communication Skills
Since clear written communication is key, practice articulating your ideas clearly. You might be asked to explain complex concepts or present your previous work, so being able to convey your reasoning effectively will set you apart.
✨Understand the Company’s Goals
Research Mercor and their partnerships with AI labs. Understanding their mission and how your role as a Senior Data Engineer fits into their objectives will help you tailor your responses and show genuine interest in the position.
