INTL - LATAM - Lead Data Engineer

Job Description Title: Lead Data Engineer Location: Remote, Nearshore Openings: 1 Work Schedule: Work PST Hours Contract Type: 12 months contract extensions We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Must Haves: u2003u2022 At least 5 years of strong handsu2011on expertise with Databricks and Datastage (or comparable ETL tools) u2003u2022 Experience with migrations u2003u2003u25cb Exs: Migrating SQL to cloud, SQL to Azure Databricks, (on prem to the cloud) u2003u2022 8u201310 years of software development and data engineering experience with SQL, ADF, SSAS cubes, Cognos, Tableau, ThoughtSpot and other BI tools u2003u2022 Advanced SQL skills for processing raw data, Kafka ingestions, ADF pipelines, data validation and QA with experience across SQL and NoSQL databases u2003u2022 Programming experience with Python and/or Scala u2003u2022 Experience ingesting data via APIs and streaming sources u2003u2022 Experience building data pipelines, data warehouses, and analytics platforms u2003u2022 Proficiency with Spark, Hive, Kafka, and cloud data services u2003u2022 Experience with Azure, AWS or equivalent cloud platforms Day-To-Day: u2003u2022 Lead and support an offshore engineering team as the primary onshore technical owner u2003u2022 Define and drive engineering strategy in partnership with product and technology leaders u2003u2022 Own the migration from SQL/Datastage to Databricks, with full understanding of the data landscape u2003u2022 Review existing Datastage pipelines and reu2011engineer them in Databricks u2003u2022 Provide handsu2011on mentorship and technical guidance u2003u2022 Develop and deploy solutions using cloudu2011based platforms daily

Created: 2026-02-16