Kforce Inc

The Data Engineer will identify and tackle issues concerning data management to improve data quality. Collaboratively review design, code, test plans and implementation performed by other data engineers on the team in support of maintaining data engineering standards. 3+ years of experience building data pipelines and Data Lake/Lakehouse solutions using Apache Spark/ PySpark on Databricks. Strong understanding of Data Warehouse and Lakehouse concepts, ETL/ ELT and corresponding technical architectures and infrastructure components. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees.

data engineer

Responsibilities Kforce has a client in Beaverton, OR that is seeking a Data Engineer 3. Responsibilities: <ul><li> Design and build cloud-based data pipelines, reusable components, frameworks, and libraries at scale to support data and BI products</li><li> The Data Engineer will identify and tackle issues concerning data management to improve data quality</li><li> Clean, prepare and optimize data for ingestion and consumption</li><li> Collaborate on the implementation of new data management features and re-structure of the current data architecture</li><li> Build continuous integration and production deployment pipelines</li><li> Collaboratively review design, code, test plans and implementation performed by other data engineers on the team in support of maintaining data engineering standards</li><li> The Data Engineer will analyze and profile data for designing scalable solutions</li><li> Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues </li></ul>Requirements <ul><li> Bachelor's degree in computer science, Information Systems, or related technical subject area</li><li> 5+ years of experience developing Data & Analytic solutions</li><li> 4+ years of experience using Python and SQL</li><li> 3+ years of experience building data pipelines and Data Lake/Lakehouse solutions using Apache Spark/ PySpark on Databricks</li><li> Experience in cloud environments, preferably AWS</li><li> Experience building near real-time streaming data pipelines</li><li> Strong understanding of Data Warehouse and Lakehouse concepts, ETL/ ELT and corresponding technical architectures and infrastructure components</li><li> Understanding of the Business Intelligence and reporting tools landscape and solutions</li><li> Proficient in source control, modern build strategies, Continuous Integration, unit testing, and automated integration tests</li><li> Ability to define solutions, provide estimates on effort and risk, and evaluate technical feasibility</li><li> Ability to influence and communicate effectively with team members and business stakeholders, both verbally and in written form </li></ul>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. Salary: $50 - $63 per hour

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