Description This team has embraced big data technologies to enable data-driven decisions. As a Senior Data Engineer, you will work with a variety of talented teammates building first-class solutions for Product Innovation and Consumer Creation Business Intelligence teams. The ideal candidate will have a passion for data, a strong grasp of data engineering paradigms and bring an engineering experience that will help innovate and improve how we build our solutions. • Design and build cloud-based data pipelines, reusable components, frameworks, and libraries at scale to support data and BI products. • Identify and tackle issues concerning data management to improve data quality. • Clean, prepare and optimize data for ingestion and consumption. • Collaborate on the implementation of new data management features and re-structure of the current data architecture. • Build continuous integration and production deployment pipelines. • Collaboratively review design, code, test plans and implementation performed by other data engineers on the team in support of maintaining data engineering standards. • Analyze and profile data for designing scalable solutions. • Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues. MUST HAVE SKILLS TO APPLY: Python, SQL, Data, Spark, Aws, Big data, Databricks Additional Skills & Qualifications Skills & Qualifications • Bachelor’s degree in computer science, Information Systems, or related technical subject area. • 5+ years of experience developing Data & Analytic solutions. • 4+ years of experience using Python and SQL. • 4+ years of experience building data pipelines and data lake solutions using Apache Spark/ PySpark leveraging one or more of the following: Databricks, AWS EMR, AWS Glue. • Experience in cloud environments, preferably AWS. • Experience building near real-time streaming data pipelines. • Strong understanding of Data Warehouse and Lakehouse concepts, ETL/ ELT and corresponding technical architectures and infrastructure components. • Understanding of the Business Intelligence and reporting tools landscape and solutions. • Proficient in source control, modern build strategies, Continuous Integration, unit testing, and automated integration tests. • Ability to define solutions, provide estimates on effort and risk, and evaluate technical feasibility. • Ability to influence and communicate effectively with team members and business stakeholders, both verbally and in written form. Experience Level Expert Level Pay and Benefits The pay range for this position is $60.00 - $70.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision• Critical Illness, Accident, and Hospital• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available• Life Insurance (Voluntary Life & AD&D for the employee and dependents)• Short and long-term disability• Health Spending Account (HSA)• Transportation benefits• Employee Assistance Program• Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Beaverton,OR. Application Deadline This position is anticipated to close on Mar 18, 2025. About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.