Data Engineer, HeadSpin
Real device testing platform for mobile, web & OTT
Be an early applicant
Real device testing platform for mobile, web & OTT
201-500 employees
Be an early applicant
201-500 employees
Company mission
To help every company perfect the digital experience by delivering consistent, high-quality testing across a vast network of real devices and platform in over 50 global locations.
Role
Who you are
- Strong SQL, ETL, and data quality skills are required; the ability to build reports and leverage semantic models is secondary to data engineering excellence
- Advanced SQL — query optimization, window functions, performance tuning, debugging complex transformations
- Proficient with Microsoft Fabric — (Dataflow Gen2, Notebooks, Lakehouse) OR equivalent ETL tools (Python, dbt, Talend, Informatica)
- Strong understanding of relational database design and dimensional modeling
- Power Query / M — complex data shaping, merging, error handling, and transformation logic
- Python or similar scripting language — data manipulation, pipeline automation
- Git/version control basics — able to collaborate on code and track changes
- Data quality and testing frameworks — unit tests, assertions, validation rules
- Ability to interpret business requirements and design efficient data solutions
- Data governance mindset — understands data lineage, documentation, and quality standards
- Proactive about identifying edge cases and potential data issues
- Mortgage/lending domain familiarity preferred; willingness to learn domain required
- Works effectively within defined standards and escalates architectural questions to Lead
- Able to balance speed with quality; advocates for technical excellence
- Demonstrate commitment to code quality and maintainability; accept technical feedback constructively
- Communicate data requirements precisely — schema details, volume expectations, refresh frequency
- Explain data quality issues and timelines in business terms; avoid over-technical language
- Ask clarifying questions about data requirements and business logic expectations
- Set expectations transparently; communicate delays or blockers early through Lead
What the job involves
- The Data Engineer operates within the framework established by the Lead — designing, building, and maintaining robust data pipelines and transformation logic that power analytics, compliance, and operational reporting across the Mortgage Cadence Platform
- The role is execution-focused with increasing ownership of end-to-end data workflows as familiarity with the platform grows
- Design and build extraction, transformation, and loading (ETL) pipelines using Microsoft Fabric (Dataflow Gen2, Notebooks, or equivalent tools)
- Write optimized SQL queries and transformations for data ingestion from designated source systems
- Apply data quality rules and validation logic at each pipeline stage
- Implement incremental loads and manage refresh schedules for performance
- Escalate to Lead for architectural decisions or complex transformation patterns
- Define and implement data quality checks at ingestion, transformation, and output stages
- Perform ongoing data validation to ensure pipeline outputs align with business logic and source system expectations
- Identify, document, and escalate data quality issues with root cause analysis
- Maintain data quality dashboards and SLA monitoring
- Support UAT for new data sources or transformation logic
- Build and maintain data transformations using Power Query, SQL, or Python as appropriate
- Develop dimensional models and define aggregation logic aligned with analytics requirements
- Optimize data structures for performance and maintainability
- Document transformation logic, lineage, and assumptions per team standards
- Collaborate with Lead to define semantic models and calculated metrics
- Troubleshoot pipeline failures and performance issues; coordinate resolution with IT/Engineering
- Respond to data discrepancy reports from business users and analysts
- Maintain documentation of data sources, data dictionaries, and transformation specifications
- Support capacity planning and optimization of Fabric environments and pipelines
- Translate analytical requirements into robust data solutions
- Communicate data lineage and transformation logic clearly
- Document assumptions and limitations of data sources and transforms
- Set realistic timelines for new pipelines or data source onboarding
- Provide detailed status updates on assigned pipelines; flag performance or quality concerns early
- Document design decisions and trade-offs for Lead review — escalate architecture questions rather than assume
- Escalate data access or infrastructure needs through Lead; provide business context
- Provide detailed defect reports with query examples and expected vs. actual results
Our take
Nowadays, organizations need testing platforms to assure optimal digital experiences across mobile and web delivery channels. This is what US-based HeadSpin offers, with services for development, QA, product, and operations teams around the world.
HeadSpin is a software-testing platform that allows users to test and debug mobile, web, audio, and video applications remotely on devices located worldwide. Since being conceived, the platform’s on-prem and cloud-hosted global device infrastructure has been expanded to test various applications in real-time.
The company is trusted by thousands of enterprise customers, including Microsoft, TikTok, Yahoo, Uber, AirBnB, and so on. It has taken advantage of the opportunity as enterprises transition to provide more digital experiences. Now, it continues to invest in developing new product offerings.
Freddie
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Feb 2020
$60m
SERIES C
Oct 2018
$20m
SERIES B
Total funding: $104.7m
Company HQ
Riverside, CA
Leadership
Eric Hatton
(CEO)Also CEO at Evolving Systems where they have worked in various roles since 2012 - including COO and GM.
Jennifer Welesko
(CFO)Jennifer is also the CFO at NetWitness, Cincom Systems and Fidelis Security.
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