Data Engineer III
itD is seeking a Data Engineer to design, build, and own the data models, pipelines, and reporting behind a large-scale robot teleoperation and wearable data collection operation at a leading global technology company, replacing manual operational reporting with automated, trustworthy systems. The ideal candidate will bring deep experience in dimensional modeling, production pipeline ownership, and distributed SQL and Python, and a track record of delivering reliable reporting infrastructure and metrics that leadership trusts.
Location: Remote (US).
Pay Rate: $48.60/hr Depends on Experience
Duration: 12 months, full time (40 hours/week), start ASAP, with a strong possibility of extension or conversion.
We provide comprehensive medical benefits, a 401k plan, paid holidays, and more.
Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.
Responsibilities
- Design and own dimensional data models covering collection volume, operator efficiency, data quality, and equipment uptime across multiple collection methods, and build the daily and cumulative table layers that let recurring reporting be derived automatically.
- Define and document canonical metric definitions so key terms mean one consistent thing across dashboards, internal apps, and leadership reporting, and drive alignment when teams disagree.
- Build and extend batch data pipelines from operational source systems through daily snapshots to cumulative dimension tables; own correctness, freshness, and backfill of every reported metric and resolve discrepancies against source data.
- Build automated data-quality checks, anomaly detection, and freshness SLAs, and own backfill and restatement strategy (including communicating restatements to stakeholders) when definitions or upstream sources change.
- Build and own dashboards and internal reporting views, including live fleet-status views and automatically generated daily operational briefs, plus lightweight input interfaces that pair human context with automated metrics.
- Automate recurring operational workflows such as daily production reporting, equipment status and maintenance tracking, and weekly metrics-review assembly, replacing manual processes with trustworthy systems.
- Partner directly with site leads, operators, program managers, and engineers across two U.S. sites to turn operational questions into durable data models, support daily and weekly operating cadences, and deliver defensible ad-hoc analysis for leadership.
Internal Responsibilities
- Attend regular internal practice community meetings.
- Collaborate with your itD practice team on industry thought leadership.
- Complete client case studies and learning material (blogs, media material).
- Build out material to contribute to the Digital Transformation practice.
- Attend internal itD networking events (in person and virtual).
- Work with leadership on career fast-track opportunities.
Required Qualifications and Skills
- BS in Computer Science, Data Engineering, or a related technical field.
- 5+ years of professional data engineering experience.
- Strong Python and strong SQL, including query performance on very large partitioned tables in a distributed query engine (Presto, Trino, Spark SQL, BigQuery, Snowflake, or similar).
- Dimensional modeling and data warehouse design: star schema, slowly changing dimensions, incremental and cumulative table patterns.
- Pipeline orchestration experience with scheduled workflows, dependency management, retries, and backfill (Airflow, Dagster, or equivalent).
- Demonstrated ownership of a production data pipeline, accountable for correctness, freshness, and backfill.
- Experience defining and documenting metrics as an organizational source of truth for a non-technical audience.
- Experience building or owning dashboards in a BI tool (Tableau, Looker, Power BI, or equivalent).
- Comfortable working in a large shared codebase with code review and CI.
- Strong written communication and the ability to partner with non-technical operational and senior stakeholders (up to director level) in an ambiguous environment.
Preferred Qualifications and Skills
- Experience in a physical operations, manufacturing, logistics, or fleet environment (uptime, utilization, yield, throughput, downtime attribution).
- Working knowledge of TypeScript/React, enough to make contained changes to an existing internal web app.
- Experience with robotics, sensor, or time-series data (e.g., ROS bags, MCAP).
- Experience with multimodal or unstructured data at scale (video, sensor streams) and the metadata layer built over it.
- Familiarity with large-scale object storage systems.
- Prior experience supporting a data-collection, annotation, or labeling operations team.
- Startup or smaller-company background with exposure to back-end systems and cross-team work.
Education
- BS in Computer Science, Data Engineering, or a related technical field required.
Company Description
About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints.
The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at [email protected] and let us know the nature of your request and your contact information.
Additional Info
Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!
Skills Required
- Bachelor’s degree in Computer Science, Data Engineering, or a related technical field
- 5+ years of professional data engineering experience
- Strong Python and SQL, including query performance on very large partitioned tables in a distributed query engine
- Experience with dimensional modeling and data warehouse design, including star schemas, slowly changing dimensions, and incremental and cumulative table patterns
- Pipeline orchestration experience with scheduled workflows, dependency management, retries, and backfills using Airflow, Dagster, or equivalent
- Demonstrated ownership of a production data pipeline, including correctness, freshness, and backfill accountability
- Experience defining and documenting metrics as an organizational source of truth for nontechnical audiences
- Experience building or owning dashboards in Tableau, Looker, Power BI, or an equivalent BI tool
- Experience working in a large shared codebase with code review and continuous integration
- Strong written communication and ability to partner with nontechnical operational and senior stakeholders
- Experience in physical operations, manufacturing, logistics, or fleet environments
- Working knowledge of TypeScript and React for contained changes to an existing internal web application
- Experience with robotics, sensor, or time-series data such as ROS bags or MCAP
- Experience with multimodal or unstructured data at scale, including video and sensor streams
- Familiarity with large-scale object storage systems
- Experience supporting data-collection, annotation, or labeling operations teams
- Startup or smaller-company experience with backend systems and cross-team collaboration
What We Do
itD is a different kind of technology and software development consultancy that puts client needs at the center of what we do. We combine the experience of a full-service consultancy with the agility of a specialized firm to help clients reimagine and improve operations and solve challenges unique to their business. Founded in 2005, we are headquartered in Silicon Valley and are honored to have long term partnerships with many of the world’s leading enterprise technology firms. With onshore, nearshore and offshore capability centers we are able to provide seamless global reach. We define ourselves by solving the toughest challenges in business. To tackle these challenges, we deploy the best people armed with the best technology to help our clients by enabling next-generation experiences, transforming tech operations, leveraging BI and analytic depth to convert data to advantage, delivering advanced DevOps and software development services and unlocking the potential of AI. Our mantra as itD is “Innovate Transform Deliver” and as a proud woman- and minority-owned business, we are focused on delivering a unique perspective and approach that attracts a robust and diverse talent pool. We believe this diversity of talent, thinking and perspective leads to better outcomes for our clients and a positive impact in our communities through our focus on giving back initiatives. We invite you to bring us the challenges no one else can solve. Because while other firms might give up, pivot, or pass… Impossible drives us. Certified Woman Owned - WBENC
