Senior Data Engineer
About The Position
The Senior Data Engineer is responsible for complex design, development, deployment, operational support, technical communication, mentoring, and continuous improvement across Mom’s Meals data and integration platforms. The role works independently on complex assignments and provides guidance to junior and mid-level engineers. The role may operate broadly across Databricks, dbt Cloud, Power BI, Azure Data Factory, Lakeflow, Azure DevOps, and related Azure services, or serve as a senior specialist in a specific platform area. It combines hands-on engineering delivery with solution design, platform reliability, compliance-aware implementation, stakeholder communication, and team leadership. The successful candidate must communicate effectively with technical teams, business stakeholders, external partners, infrastructure, information security, network teams, and leadership. Remote hires must travel to the company headquarters in Ankeny, Iowa, for the first few days for new-hire orientation, training, and onboarding; the company pays for this travel. Applicants who require immigration sponsorship or additional or permanent work authorization now or in the future are not being considered. The salary range is $120,000–$130,000, plus a 10% annual bonus target.
Requirements
- Significant experience building and supporting data pipelines, integrations, analytics platforms, reporting data assets, or cloud data solutions.
- Strong experience with several relevant technologies, such as Databricks, dbt, Power BI, ADF, Lakeflow, Azure DevOps, SQL, Python, Spark, APIs, sFTP, or EDI-related data exchanges.
- Experience designing production-ready solutions and supporting operational environments.
- Experience with CI/CD, source control, testing, deployment, and release practices.
- Ability to guide other engineers and lead technical work.
- Strong communication, documentation, troubleshooting, and stakeholder management skills.
- Understanding of HIPAA, HITRUST, PHI handling, privacy, and healthcare compliance expectations.
Responsibilities
- Lead operational support for assigned pipelines, integrations, APIs, reports, jobs, models, datasets, and platform services.
- Improve monitoring, alerting, logging, notifications, reconciliation, runbooks, and support procedures.
- Perform root-cause analysis and drive permanent remediation for recurring production issues.
- Promote automation-driven administration, monitoring, and notification services.
- Support production readiness, release planning, deployment coordination, and operational handoff.
- Design and deliver complex solutions across data engineering, integration, analytics, reporting, and platform operations.
- Lead technical design for data pipelines, API integrations, file-based exchanges, sFTP flows, EDI-related interactions, dbt models, semantic structures, Databricks workflows, Power BI data assets, and analytics delivery processes.
- Apply architecture standards, platform patterns, naming conventions, testing expectations, documentation practices, and operational requirements.
- Identify technical risks, performance concerns, supportability gaps, and design tradeoffs.
- Review designs, code, models, integration flows, test plans, and deployment plans created by other engineers.
- Help improve CI/CD practices across platforms.
- Coordinate technical delivery, testing, deployment readiness, release notes, and production validation.
- Lead assigned Azure DevOps features, user stories, tasks, bugs, requirements, and documentation; ensure work items accurately capture progress, decisions, blockers, risks, and testing evidence.
- Support sprint planning, backlog refinement, work estimation, and stakeholder reporting.
- Ensure upstream integrations and downstream data products are aligned, reliable, traceable, and supportable.
- Support medallion architecture design and implementation across source-to-bronze, bronze-to-silver, and silver-to-gold patterns.
- Lead assigned work across Databricks, dbt, Power BI, ADF, Lakeflow, Azure DevOps, or related services.
- Support healthcare-focused data domains and partner reporting needs.
- Guide semantic consistency across dbt, Databricks, Power BI, and analytics engine outputs.
- Communicate complex technical topics clearly to business and technology audiences.
- Prepare design summaries, technical documentation, decision records, diagrams, implementation plans, and operational updates.
- Mentor Junior Data Engineers and Data Engineers.
- Coordinate work with onshore and offshore resources as assigned.
- Collaborate with infrastructure, information security, network, application, integration, reporting, and business teams.
- Ensure assigned solutions align with HIPAA, HITRUST, privacy, security, and internal compliance expectations.
- Support secure data movement, access control, encryption, logging controls, auditability, and sensitive data handling.
- Participate in security reviews, control documentation, audit support, and remediation activities as needed.
- Promote compliance-aware engineering practices within the team.
- Deliver complex, secure, scalable, and supportable platform solutions; lead design, deployment, and operational improvement activities; improve reliability through automation, monitoring, and documentation; maintain clear communication and Azure DevOps delivery tracking; and demonstrate sound judgment, ownership, and collaboration.
Benefits
- Paid time off (PTO)
- Holiday pay and holiday of choice
- 401(k) match
- Life insurance
- Short-term disability
- Health insurance
- Dental insurance
- Vision insurance
- Maternity and paternity leave
- Health savings account (HSA)
- Flexible spending accounts (FSA) for health and dependent care
- Company-paid travel to headquarters for remote-hire orientation, training, and onboarding
- 10% annual bonus target
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
