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Senior Data Engineer
Highmark Health. Design, develop, and maintain robust data processes and solutions for moving and transforming data across multiple systems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering, including the design and implementation of data models, ETL processes, and data governance practices. Proficient in collaborating with cross-functional teams to deliver data solutions while ensuring compliance with regulatory standards.
Highest-signal resume keywords
Data EngineeringETL DevelopmentSQL and Database TechnologiesData Warehousing SolutionsData Governance Best Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData AnalysisAlgorithm DesignData StructuresData Pipeline ManagementData Security MeasuresFault-Tolerant Code DevelopmentCloud PlatformsPythonSpark Framework
Soft Skills
CollaborationMentoringCommunication
Tools & Technologies
Apache AirflowAWS GlueAzure Data FactoryDatabricksSnowflakeRedshiftBigQueryMySQLPostgreSQLMongoDB
Industry Keywords
Healthcare Data SolutionsHIPAA ComplianceData QualityData IntegrityRegulatory Compliance
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSAzureBigQueryCloudETLGoogle Cloud PlatformMongoDBMySQLPostgresPythonSnowflakeSparkSQL
About the role
Key responsibilities & impact- Design, develop, and maintain robust data processes and solutions for moving and transforming data across multiple systems
- Develop and maintain data models, databases, and data warehouses for business intelligence and analytics
- Collaborate with IT, product, analytics, business teams, data professionals, analysts, and engineers to gather requirements and deliver data solutions
- Monitor work against production schedules, provide progress updates, and report issues or technical difficulties to lead developers
- Implement and manage data governance practices to ensure data quality, integrity, and regulatory compliance
- Collaborate on data security measures including access controls, encryption, and data masking
- Mentor associate and intermediate data engineers
- Perform data analysis and provide insights for decision-making
- Stay current with data engineering trends and emerging technologies and recommend tools and best practices
- Participate in the full data process from idea generation and analysis through design, build, and support
- Perform other duties as assigned or requested
Requirements
What you’ll need- 5 years of experience in design and analysis of algorithms, data structures, and design patterns for scalable, highly available systems
- 5 years of experience in data engineering, ETL development, or data management
- 5 years of experience with SQL and database technologies such as MySQL, PostgreSQL, or MongoDB
- 5 years of experience with data warehousing concepts and warehouse solutions such as Snowflake, Redshift, or BigQuery
- Bachelor’s degree in Computer Science, Information Systems, Data Science, Computer Engineering, or related field
- Experience with Python and Spark framework preferred
- 2 years of experience with Databricks preferred
- 7 years of experience with data pipeline and workflow management tools such as Apache Airflow, AWS Glue, or Azure Data Factory preferred
- 7 years of experience defining system architectures and evaluating technical feasibility trade-offs preferred
- 7 years of experience designing or developing data solutions in healthcare preferred
- 7 years of experience with cloud platforms such as AWS, Azure, or GCP and their data services preferred
- 7 years of experience in data governance, data quality, and data security best practices preferred
- 7 years of experience translating requirements, design mockups, prototypes, or user stories into technical designs preferred
- 7 years of experience producing fault-tolerant, efficient, and maintainable data-related code preferred
- Ability to collaborate across cross-functional environments
- Experience and willingness to mentor junior data engineers
- Compliance with HIPAA, company privacy policies, information security policies, code of business conduct, applicable laws, and training requirements
Benefits
Comp & perks- Remote-based position
- Travel requirement of 0%–25%
- No physical work site required
- HIPAA, privacy, and information security compliance support
- Equal employment and anti-discrimination protections