Intern - Data Engineer

Apollo is building out a data lake using an already-established medallion architecture (Bronze / Silver / Gold), and expanding it as we bring on new clients and migrate existing ones. A large part of this work is moving business logic out of Tableau workbooks and into a centralized, documented Gold layer. We're looking for a Data Engineering Intern to support that effort. You'll work alongside our data engineering team on pipeline development, SQL implementation, and — importantly — the discovery work that has to happen before anything gets migrated: figuring out how a report actually calculates a number today, writing an equivalent SQL definition, and documenting it so it can be validated and standardized. This is a hands-on role. You won't be setting technical direction, but you will be doing real work that ships, with your output reviewed by senior engineers before it reaches clients. Overview Location: On-site/remote (White Plains, NY) Type: Part-time (20 hours per week) Compensation: $2500 monthly Responsibilities Reverse-engineer existing Tableau reports to identify how metrics are calculated — calculated fields, LOD expressions, filters, and context filters Contribute to on external data imports as part of client management &onboarding Write SQL implementations of those metrics and compare outputs against Tableau to confirm they match Document metric definitions using our standard templates so report owners can confirm or correct proposed logic Write and optimize complex SQL queries against large datasets; Write and test SQL queries against Gold layer views and tables Build web scraping tools to source external data as needed Support ETL pipeline development in Python under the direction of the data engineering team; Help maintain extraction and metadata tooling used across client environments Requirements Currently pursuing a degree in Computer Science, Data Science, Information Systems, Statistics, or a related field Working SQL knowledge, including joins, aggregations, and window functions Python experience, including familiarity with pandas Comfort reading and reasoning about code or data structures you didn't write Attention to detail — much of this work is confirming that two implementations produce identical results Ability to communicate clearly in writing, including with non-technical stakeholders Able to work 20 hours per week Nice to Have Exposure to Tableau or Power BI, whether as a builder or a user Familiarity with cloud data platforms, ideally Azure Synapse or Azure Data Lake Experience with Git / Github Coursework or projects involving ETL or data pipelines Microsoft 365 experience Our Evaluation Method Our process includes a practical component — we're interested in how quickly you can get up to speed on an existing database/data lake architecture, and we'll ask you to work through some complex SQL queries. ApolloV2 is an equal opportunity employer with a commitment to hiring people with diverse backgrounds. We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation. #J-18808-Ljbffr Apollo MIS LLC