Data Engineer - TSSCI w/ Poly

Insight Global

$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering and ETL processes.
  • Proficient in managing both relational (e.g., Oracle, SQL Server) and non-relational databases (e.g., PostgreSQL).
  • Strong understanding of database performance monitoring and tuning strategies.
  • Ability to ensure data quality, consistency, and security in diverse systems.
  • Experience collaborating with cross-functional teams to gather data requirements.
  • Familiarity with automating data workflows and supporting data warehousing initiatives.
  • Knowledge of best practices in data engineering and documentation.

Responsibilities

  • Design and develop scalable ETL pipelines for data processing.
  • Administer and optimize various database systems effectively.
  • Monitor database performance and apply necessary tuning strategies.
  • Implement measures to ensure data quality and security across platforms.
  • Collaborate with teams to interpret data needs and deliver effective solutions.
  • Automate workflows to streamline data processes and support warehousing.
  • Maintain comprehensive documentation and adhere to data management best practices.

Benefits

  • Medical, dental, and vision insurance starting on the 31st day of employment.
  • Health Savings Account (HSA), Flexible Spending Account (FSA), and Dependent Care Flexible Spending Account (DCFSA) options.
  • Access to a 401k retirement plan with employer matching contributions.
  • Paid sick leave and other paid time off as mandated by law.
Full Job Description
We are seeking a detail-oriented and experienced Data Engineer with strong expertise in ETL processes and Database Administration (DBA). This role is critical to ensuring the integrity, availability, and performance of our data infrastructure. You will work closely with data analysts, software engineers, and business stakeholders to design and maintain robust data pipelines and database systems.
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 [email protected] 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
• Design, develop, and maintain scalable ETL pipelines to support data ingestion, transformation, and integration.
• Administer and optimize relational and non-relational database systems (e.g., Oracle, SQL Server, PostgreSQL).
• Monitor database performance and implement tuning strategies.
• Ensure data quality, consistency, and security across platforms.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Automate data workflows and support data warehousing initiatives.
• Maintain documentation and follow best practices in data engineering and database management.

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.

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