This is a fully remote position, open to applicants in United States.

• Design, develop, and maintain scalable ETL/ELT pipelines utilizing Databricks and Spark.

• Create and uphold processes for integrating and transforming source data into curated, analytics-ready data layers.

• Collaborate with product, analytics, and engineering teams to convert business requirements into effective data solutions.

• Maintain comprehensive data documentation, including data dictionaries and lineage.

• Work with SQL Server, encompassing data querying and management.

• Utilize AI-enabled tools and analytics to enhance decision-making, boost efficiency, and generate measurable business outcomes when suitable.

• Exercise sound judgment and ethical standards while employing AI, ensuring accuracy, data privacy, and responsible human oversight.

• Perform other assigned duties.

• Proficient in programming/scripting languages such as Python and SQL.

• Expertise in cloud data platforms, preferably Azure.

• Experience in constructing data pipelines that ingest, transform, and load source data into curated data models.

• Familiarity with data pipeline orchestration and workflow management tools.

• Strong working knowledge of Git-based version control systems.

• High proficiency in SQL Server, including query optimization and performance tuning.

• Proven ability to define and deliver projects within specified timelines.

• Capability to effectively collaborate with cross-functional teams to provide data-driven solutions.

• Strong analytical and problem-solving skills, operating with a high degree of autonomy and ownership.

• A minimum of 8 years of relevant experience.

• Medical Insurance

• Life Insurance

• Dental Insurance

• Vision Insurance

• PTO

• Paid Parental Leave

• Paid Holidays

• Short Term Disability

• Long Term Disability

• 401K

• Educational Assistance

Data Engineer

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