CDW Data Engineer

Bloom Healthcare is looking for a Data Engineer to build, manage, and maintain the pipelines and data infrastructure that power our business. You’ll work across orchestration, integrations, and modeling, owning systems end to end rather than just writing one-off scripts. This is a hands-on role for someone who likes solving real business problems with clean, reliable data engineering.

What You’ll Do

• Orchestration: Build, manage, and maintain data workflows in Apache Airflow, ensuring pipelines run reliably, are well-monitored, and recover gracefully from failures.

• Integrations & Automation: Design and build integrations between internal systems and external services (APIs, vendors, partners) and develop process automations that reduce manual work across teams.

• Data Modeling: Build and maintain dbt models and our semantic layer, creating clean, well-documented, and trustworthy datasets that the business can rely on for reporting and analysis.

• Collaborate with stakeholders across the business to understand data needs and translate them into scalable technical solutions.

• Monitor data quality and pipeline health, troubleshoot issues, and continuously improve reliability and performance.

• Document data models, pipelines, and integrations so systems are maintainable and understandable by the wider team., Leads the design, development, implementation, and support of scalable data solutions across multiple applications and platforms. Responsibilities include data requirements analysis, ETL/ELT development, data modeling, migration and transformation, workflow orchestration, performance optimization, data quality, pipeline monitoring, and production support. The role also provides technical leadership through coding standards, code reviews, mentorship, and engineering best practices. Top Skills: Apache AirflowApache KafkaCi/CdCloud PlatformsCronData WarehousingDevOpsEltETLGitLinuxOracle SqlPython Ibotta

Data Engineer

Yesterday Hybrid Denver, CO, USA 110K-126K Annually Mid level 110K-126K Annually Mid level eCommerce * Mobile * Payments Build and govern Ibotta’s foundational data platform using Python, SQL, Terraform, Databricks, AWS, and Spark. Develop infrastructure provisioning, access controls, governance automation, self-service tooling, and scalable data pipelines. Support reliability through incident resolution, root cause analysis, on-call participation, and platform improvements. The role requires three years of software or data engineering experience and is hybrid in Denver. Top Skills: SparkAWSDatabricksPythonSQLTerraform, CDW

• Bachelor’s degree in mathematics, biostatistics, engineering or a related field; Master’s preferred.

• 3+ years of industry experience in data engineering building scalable data pipelines and data products.

• Strong proficiency in Python and SQL (required).

• Hands-on experience building and consuming APIs.

• Experience with workflow orchestration tools (e.g. Airflow, Dagster).

• Experience building and maintaining dbt models, or similar transformation/modeling frameworks.

• Experience building advanced analytics and AI or ML models, including tools leveraging LLMs or agentic AI such as data retrieval and cleaning, modeling, accuracy evaluation or testing, and visualization

• Functional understanding of how to leverage AI and automation in data engineering such as building self-service tools, intelligent pipelines, and agents that automate repetitive tasks.

• Comfort working directly with business stakeholders to scope and deliver data solutions.

• Strong debugging and problem-solving skills, with attention to data quality and reliability.

Nice to Have

• Experience with Power BI or similar BI/visualization tools.
• Exposure to machine learning models (e.g., supporting ML pipelines, feature engineering, or model integration).
• Healthcare industry experience, especially with healthcare data or systems; knowledge in data standards such as HL7, FHIR, CCD, CCR and claims data.

Posted Yesterday In-Office Lakewood, CO, USA 120K-155K Annually Mid level In-Office Lakewood, CO, USA 120K-155K Annually Mid level Build and maintain reliable data pipelines, integrations, automations, Airflow workflows, and dbt models. Develop semantic-layer datasets, monitor data quality, troubleshoot pipeline issues, document systems, and collaborate with business stakeholders. The role also involves applying AI, machine learning, and LLM-based tools to data engineering workflows, with potential Power BI and healthcare data work. The summary above was generated by AI, Bloom Healthcare offers a competitive compensation package commensurate with experience, including:

• Base salary range: $120,000 - $155,000 annually, depending on qualifications and experience.
• Comprehensive medical, dental, and vision insurance.
• Employer-sponsored 401(k).
• Generous paid time off, paid holidays, and CME/professional development allowance.
• Hybrid work flexibility (Lakewood-based role; some remote work available)., 105K-150K Annually Senior level 105K-150K Annually Senior level Information Technology Designs, develops, and supports analytics data solutions for clients, including Snowflake and dbt ingestion and transformation pipelines, data marts, validation, monitoring, governance, and documentation. Manages multiple consulting projects, budgets, timelines, quality assurance, troubleshooting, client communication, and implementation planning. Requires strong data engineering experience, regulated-industry knowledge, stakeholder communication, and willingness to travel. Top Skills: AWSDbtSnowflakeSQL

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