Senior Data Engineer

Mom's Meals•Ankeny, IA

1d•Remote

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, provides guidance to junior and mid-level engineers, and may work 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 communicates 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 is not considering applicants who require immigration sponsorship or additional or permanent work authorization now or in the future to work in the United States. The salary range is $120,000–$130,000, plus a 10% annual bonus target. Mom’s Meals is a home-delivered meal service providing prepared, refrigerated meal solutions nationwide. It serves seniors, patients recovering after discharge, and people managing chronic conditions with tailored nutrition solutions.

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.
Ability to travel to Mom’s Meals headquarters in Ankeny, Iowa, for the first few days for orientation, training, and onboarding if hired remotely.
Must not require immigration sponsorship or additional or permanent work authorization now or in the future to work in the United States.

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.
Drive root-cause analysis and 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.
Improve CI/CD practices across platforms and coordinate technical delivery, testing, deployment readiness, release notes, and production validation.
Lead assigned Azure DevOps features, user stories, tasks, bugs, requirements, and documentation; keep work items current with 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 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, and 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 and 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.