Job description

As a Data Engineer, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Required Skills & Experience • 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at an enterprise scale • 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data, including Python, SQL, or Java • 3+ years of experience building scalable ETL and ELT workflows for reporting and analytics • 2+ years of experience with Databricks • Experience with data warehousing using AWS Redshift, MySQL, PostgreSQL, or Snowflake • Experience with distributed data and computing tools, including Spark, AWS EMR, or Kafka • Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud • IRS Moderate Risk Background Investigation (IRS MBI) • Bachelor's degree • Databricks Certified Data Engineer Professional Certification - Looking for a mid-sr level databricks engineer (5-10 yrs) that has experience with UAPI - Experience with data pipelining by designing and orchestrating workflows that move and transform data across various stages Nice to Have Skills & Experience • Experience with Palantir Foundry • Experience with UNIX or Linux, including basic commands and Shell scripting • Experience working on real-time data and streaming applications • Experience with AWS • Master's degree Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Requirements