Frida
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Frida. Skills: Data Engineering, Data Pipelines, Database Infrastructure, Azure Data Factory, PostgreSQL, SQL, Python, Azure Data Services. Design, build, and maintain scalable data pipelines and the underlying database infrastructure. Ensure database stability, proper indexation, reliable backups, performant pipelines, and sound data model and schema design”
Industry & Context.
Troubleshoot pipeline failures and performance bottlenecks, performing root cause analysis and implementing lasting fixes
What They're Looking For.
Must Have
5+ years of experience in a data engineering role or a closely related function, Proficiency with Azure Data Factory, including pipeline orchestration, linked services, and integration runtimes, Solid SQL skills with hands-on experience managing PostgreSQL databases, including indexing strategies, partitioning, query optimization, backup and recovery, and performance tuning, Experience with Python or another scripting language for data transformation and automation tasks, Experience administrating Azure environments, including resource management, access controls, and service configuration, Understanding of data modeling concepts (star schema, Medallion structure, normalization/denormalization), Comfort working with version control and implementing CI/CD practices for data pipeline deployment, Communication skills and the ability to translate technical concepts for non-technical stakeholders
Nice to Have
Experience with database monitoring tools, automated alerting, and infrastructure-as-code practices for data environments, Exposure to EDI data flows or ERP systems such as NetSuite, Background working in a consumer products, retail, or e-commerce environment
What You'll Do.
and maintain scalable data pipelines and the underlying database infrastructure
Ensure database stability
and sound data model and schema design
and maintain data models and schemas within PostgreSQL
and disaster recovery procedures
Monitor database health
and resource utilization
Contribute to the architecture and continued buildout of the organization's data lake on Azure
Take ownership of deployment
and environment configuration from vendor teams
and maintain ETL/ELT pipelines using Azure Data Factory
Implement and enforce data quality checks
and alerting across pipelines
Troubleshoot pipeline failures and performance bottlenecks
Partner with business stakeholders and the analytics team to understand data ingestion requirements
Drive standardization and templatization of data structures
and ingestion processes
Ensure the analytics team has access to clean
and well-documented data
How You'll Work.
Team & Collaboration
Collaboration with the analytics team will be essential to ensure they have a reliable, well-governed platform to build on; Partner with business stakeholders and the analytics team to understand data ingestion requirements; Partnering with infrastructure and DevOps resources to bring capabilities in-house; Work closely with the broader IT team and partner regularly with Finance, Operations, and Marketing
Communication Scope
Communication skills; Ability to translate technical concepts for non-technical stakeholders
Full Job Description
**Who We Are** Parenting isn’t picture-perfect. It’s messy, hilarious, exhausting, and life-changing — sometimes all before noon. That’s where we come in. Founded in 2014 by our CEO Chelsea Hirschhorn, Frida was built to make the raw reality of parenting a little easier to navigate (and a lot less overwhelming). It all started with one legendary snot-sucker — the NoseFrida — and has grown into a 200+ product lineup that supports families through every stage: from fertility and postpartum recovery to baby care and beyond. We don’t shy away from the stuff no one else wants to talk about — nipple pain, diaper blowouts, or the emotional rollercoaster that comes with keeping a tiny human alive. We call it like it is, solve the problems that actually matter, and build products that help parents feel seen, supported, and totally capable. You can now find Frida products in 50+ countries and thousands of stores across the U.S., from the biggest national retailers to your neighborhood grocery aisle. Under Hirschhorn’s leadership, Frida has become a category leader by challenging taboos, championing honesty, and supporting families at every stage of parenthood and beyond, earning acclaim on TIME's 100 Most Influential Companies, TIME Best Inventions, Fast Company Most Innovative Companies and Fast Company Brands That Matter. But the real win? Knowing we’re helping parents everywhere feel a little more human and a little less alone. **How You Will Make an Impact** Frida is seeking a Data Engineer to design, build, and maintain scalable data pipelines and the underlying database infrastructure that supports analytics and reporting across the organization. This role sits within the Data Integration and Architecture team and is central to our ongoing data lake buildout. This role will focus on ensuring database stability, proper indexation, reliable backups, performant pipelines, and sound data model and schema design. Strong collaboration with the analytics team will be essential
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