Primary Talent Partners has a new contract opening for a
Data Engineer - III to join a financial services company in San Francisco, CA. This is a 12-month contract to start with the potential for extensions.
Pay: $95.00 - $115.00/hr; W2 contract, no PTO, no Benefits. ACA-compliant supplemental package available for enrollment.
Schedule: Hybrid
Description:
As a Data Engineer, this CW will be responsible for collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into actionable insights. They will work across multiple platforms to ensure that data pipelines are scalable, repeatable, and secure, capable of serving multiple users.
Key Responsibilities:- Design, develop, and maintain robust and efficient data pipelines to ingest, transform, catalog, and deliver curated, trusted, and quality data from disparate sources into our Common Data Platform.
- Actively participate in Agile rituals and follow Scaled Agile processes as set forth by the CDP Program team.
- Deliver high-quality data products and services following Safe Agile Practices.
- Proactively identify and resolve issues with data pipelines and analytical data stores.
- Deploy monitoring and alerting for data pipelines and data stores, implementing auto-remediation where possible to ensure system availability and reliability.
- Employ a security-first, testing, and automation strategy, adhering to data engineering best practices.
- Collaborate with cross-functional teams, including product management, data scientists, analysts, and business stakeholders, to understand their data requirements and provide them with the necessary infrastructure and tools.
- Keep up with the latest trends and technologies, evaluating and recommending new tools, frameworks, and technologies to improve data engineering processes and efficiencies.
Qualifications:- Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
- 2+ years' experience with tools such as Databricks, Collibra, and Starburst.
- 3+ years' experience with Python and PySpark.
- Experience using Jupyter notebooks, including coding and unit testing.
- Recent accomplishments working with relational and NoSQL data stores, methods, and approaches (STAR, Dimensional Modeling).
- 2+ years of experience with a modern data stack (Object stores like S3, Spark, Airflow, Lakehouse architectures, real-time databases) and cloud data warehouses such as RedShift, Snowflake.
- Overall data engineering experience across traditional ETL & Big Data, either on-prem or Cloud.
- Data engineering experience in AWS (any CFS2/EDS) highlighting the services/tools used.
- Experience building end-to-end data pipelines to ingest and process unstructured and semi-structured data using Spark architecture.
Additional Requirements:- This position requires access to confidential supervisory information, which is limited to "Protected Individuals.” Protected Individuals include, but are not limited to, U.S. citizens and U.S. nationals, U.S. permanent residents who are not yet eligible to apply for naturalization, and U.S. permanent residents who have applied for naturalization within six months of being eligible to do so or who will sign a declaration of intent to apply for naturalization before they begin employment.
Primary Talent Partners is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.
If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at info@primarytalentpartners.com
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