LHH Recruitment Solutions is looking for a Senior Data Engineer for a medical solutions company located in San Francisco, CA.
Position is Hybrid, Direct Hire/W2, and it is Full Time.
Apologies, this client isn't able to offer VISA or any other kind of sponsorship/transfer.
Responsibilities:
- Handle the collection and processing of large-scale raw data.
- Develop and enhance our analytics engine by creating new tools and solutions that facilitate intuitive data consumption for stakeholders.
- Construct and improve infrastructure for data extraction, transformation, loading, and cleaning from diverse sources using APIs, SQL, and AWS ‘big data’ technologies.
- Implement continuous integration and continuous deployment (CI/CD) pipelines for data operations, ensuring efficient and smooth deployment of data models and applications.
- Address both ad-hoc data requests and core pipeline development tasks.
- Work closely with a range of stakeholders and functional teams to leverage data insights for driving business results.
- Detect inefficiencies, optimize processes and data flows, and suggest improvements.
- Provide mentorship to junior engineers, promoting a collaborative and innovative team atmosphere.
- Offer technical insights and strategic recommendations regarding data processing infrastructure to the management team.
Qualifications:
- At least 7 years of experience in engineering.
- Minimum of 7 years in Big Data engineering, covering data ingestion, normalization, and quality assurance.
- 5 years of implementing CI/CD pipelines
- Over 2 years of experience handling healthcare claims and clinical data sets.
- More than 2 years developing data analytics engines and building applications using extensive data sets, preferably with healthcare data.
- At least 2 years of hands-on experience with Snowflake development
- 2 years in Python and SQL
- 3+ years of experience designing and building infrastructure for extraction, transformation, loading, and cleaning of data from a wide variety of sources using APIs, SQL, and AWS ‘big data’ technologies
- A bachelor's or master's degree in computer science, IT management, or a related field.
- Expertise in SAS analytics, and ETL.
- DBT, Terraform (managing SQL and documentation), Airflow experience.
Expected salary compensation: 160k -190k
- standard PTO
- 40k
- standard medical, dental, and vision
- other company perks!
