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RESPONSIBILITIES:
Kforce has a client in San Francisco, CA that is seeking a mid-level Data Engineer responsible for designing, developing, and maintaining efficient and reliable data pipelines. This role will work closely with stakeholders across the company to gather business requirements, build data models, and ensure data quality and accessibility. Expertise in Python, SQL, Airflow, and Spark will be crucial in optimizing our data infrastructure and enabling data-driven decision-making.
Responsibilities:
• Data Pipeline Development: Design, build, and maintain scalable data pipelines using Python, SQL, Airflow, and Spark
• Business Requirements Gathering: Collaborate with stakeholders to understand and translate business requirements into technical specifications
• Data Modeling: Develop and implement data models that support analytics and reporting needs
• Data Quality and Governance: Ensure data accuracy, consistency, and reliability by implementing robust data validation and quality checks
• Stakeholder Collaboration: Work with cross-functional teams, including data analysts, data scientists, and business leaders, to deliver high-quality data solutions
• Performance Optimization: Continuously monitor and optimize data pipelines for performance, scalability, and cost-efficiency
• Monitoring and Observability: Build and implement monitoring and observability metrics to ensure data quality and detect anomalies in data pipelines
• Documentation and Communication: Maintain clear and comprehensive documentation of data processes and communicate technical concepts effectively to non-technical stakeholders
REQUIREMENTS:
• Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
• Experience: 3+ years of experience in a data engineering or analytics engineering role
• Technical Skills: Proficiency in Python, SQL, Airflow, and Spark
• Data Pipeline Expertise: Strong experience in building and maintaining robust data pipelines and ETL processes
• Analytical Skills: Ability to gather business requirements and translate them into effective data models
• Communication: Excellent verbal and written communication skills, with the ability to convey technical information to non-technical audiences
• Collaboration: Proven ability to work effectively in a collaborative, cross-functional environment
Preferred Qualifications:
• Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
• Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
• Knowledge of data governance and data security best practices
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Location: Anywhere
Posted: Aug. 15, 2024, 9:02 p.m.
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