Staff Data EngineerHispanic Alliance for Career Enhancement • Sioux Falls, South Dakota, United States
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Staff Data Engineer
Hispanic Alliance for Career Enhancement
- Sioux Falls, South Dakota, United States
- Sioux Falls, South Dakota, United States
About
What will you do?
Communicate with business leaders to help translate requirements into functional specification
Develop broad understanding of business logic and functionality of current systems
Analyze and manipulate data by writing and running SQL queries
Analyze logs to identify and prevent potential issues from occurring
Deliver clean and functional code in accordance with business requirements
Consume data from any source, such as flat files, streaming systems, or RESTful APIs
Engineer scalable, reliable, and performant systems to manage data
Collaborate closely with other Engineers, QA, Scrum master, Product Manager in your team as well as across the organization
Build quality systems while expanding offerings to dependent teams
Comfortable in multiple roles, from Design and Development to Code Deployment to monitoring and investigating in production systems
Minimum Requirements
7+ years of relevant experience
Proven ability to complete projects in a timely manner while clearly measuring progress
Ability to use AI driven tooling
Strong software engineering fundamentals (data structures, algorithms, async programming patterns, object-oriented design, parallel programming)
Strong understanding and demonstrated experience with at least one popular programming language (.NET or Java) and SQL constructs
Experience with cloud-based systems (Azure / AWS / GCP).
High level understanding of big data design (data lake, data mesh, data warehouse) and data normalization patterns
Strong communication skills
Ability to collaborate closely with product, data analytics teams
Proficiency in building scalable data pipelines on Big Data Platforms and ETL/ELT workflows
Preferred Qualifications
3+ years in senior or lead roles
Expert-level skills in writing and optimizing complex queries (preferably across multiple databases - e.g., SQL Server, Snowflake, Postgres)
Solid knowledge of Apache Kafka (Kafka Streams, Schema Registry, Avro/JSON serialization)
Advanced experience building distributed data pipelines, ETL/ELT workflows, and real-time/streaming jobs (Spark SQL, PySpark, Spark Structured Streaming)
Strong understanding of data modeling, data quality, and governance in regulated environments (HIPAA, HITRUST)
Familiarity with Epic Interconnect APIs, Bridges, or other healthcare interoperability frameworks
Experience with Azure (preferred), AWS, or GCP for data engineering workloads
Experience working on Databricks platform
Experience with DBT and Dagster
Strong Python programming experience for data ingestion, transformation, and automation workflows
Strong experience with revision control (Git)
Demonstrated experience with Metrics, Logging, Monitoring and Alerting tools
Strong experience with use of RESTful APIs
High level understanding of system deployment tasks and technologies. (CI/CD Pipeline, K8s, Terraform)
Experience designing real-time streaming pipelines and batch workflows
Education
Bachelors in Computer Science or equivalent
Master's degree or PhD preferred
Pay Range The typical pay range for this role is: $106,605.00 - $284,280.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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Languages
- English
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