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Data Engineer
Addison GroupChicago, IL, USjob_description.job_card.variable_hours_ago
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- serp_jobs.job_card.full_time
job_description.job_card.job_description3+ years of experience in a data engineering or software engineering role, with a strong track record of delivering robust data solutions Proficiency in Python and advanced SQL for complex data transformations and performance tuning Experience building and maintaining production pipelines using tools like Airflow, dbt, or similar workflow / orchestration tools Strong understanding of cloud-based data infrastructure (e.g., AWS, GCP, or Azure) Knowledge of data modeling techniques and data warehouse design (e.g., star / snowflake schemas) Experience working with structured and semi-structured data from APIs, SaaS tools, and databases Familiarity with version control (Git), CI / CD, and Agile development methodologies Strong communication and collaboration skills Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related technical field Experience with modern data warehouses like Redshift, BigQuery, or Snowflake Exposure to modern DevOps / dataops practices (e.g., Terraform, Docker, dbt Cloud) Experience integrating with Salesforce or other CRM / marketing platforms Knowledge of data privacy and compliance considerations (e.g., FERPA, GDPR) Hybrid work arrangement Paid parental leave Medical, dental, and vision insurance Flexible Spending Account (FSA) - Health Savings Account (HSA) Employer-paid short-term disability insurance - Optional long-term disability insurance 401(k) with immediate employer match vesting Generous PTO plan with accrual increasing by tenure Tuition reimbursement program Discounted onsite gym access Optional pet insurance Additional perks and benefits
Job Description
Job Description
Title : Data Engineer II / III
Location : Chicago, IL
Salary : $100,000 - $150,000
As a Data Engineer II / III , you will play a key role in designing, building, and maintaining company’s modern data platform. You’ll own complex data pipelines and integrations that support strategic decision-making and business operations. As a mid-level engineer, you'll collaborate closely with product, analytics, and engineering teams to improve data quality, performance, and accessibility. You’ll also contribute to architectural decisions, mentor junior engineers, and help raise the bar for data engineering across the organization.
This position is ideal for someone who has already built robust pipelines, thrives on solving data challenges at scale, and wants to deepen their impact in a growing, mission-driven company.
This role reports to Executive Director, Technical Strategy and Operations and is located in Chicago, offering a hybrid work environment with a minimum of 3 days required in the office every week and additional days as business needs arise.
Responsibilities :
- Design and implement scalable, maintainable ETL / ELT pipelines for a variety of use cases (analytics, operations, product enablement)
- Build and optimize integrations with cloud services, databases, APIs, and third-party platforms
- Own production data workflows end-to-end, including testing, deployment, monitoring, and troubleshooting
- Collaborate with cross-functional stakeholders to understand business needs and translate them into technical data solutions
- Lead technical discussions and participate in architecture reviews to shape our evolving data platform
- Write clean, well-documented, production-grade code in Python and SQL
- Improve data model design and data warehouse performance (e.g., partitioning, indexing, denormalization strategies)
- Champion best practices around testing, observability, CI / CD, and data governance
- Mentor junior team members and contribute to peer code reviews
Qualifications :
Preferred :
Benefits :
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Data Engineer • Chicago, IL, US
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