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Data Analytics & Engineering - Data Engineer III

Mindlance

Role overview

Qualifications

  • 5+ years of experience in data engineering
  • Strong cross-functional partnership and communication skills
  • Experience setting up data architecture and pipelines
  • Strong technical skills in Python, advanced SQL, and pipeline orchestration

Responsibilities

  • Design, build, and own data models and pipelines
  • Automate operational reporting systems
  • Work directly with robot operators, site leads, and program managers
  • Translate stakeholder questions into durable data models

Key facts

Hard skills

Other skills

  • Communication

About the company

Mindlance logo

Mindlance

Staffing & Recruiting

Founded in 1999, Mindlance is one of the largest diversity-owned staffing firms in the US and has been on SIA’s list of Fastest Growing US Staffing Firms for 10 years. Mindlance has also been recognized as one of the consistently best performing partners to industry-leading MSP programs including Allegis, Kelly, TAPFIN, PROUnlimited, Pontoon, GRI, WorkforceLogiq and Agile-1.What started with contingent staffing has developed to a comprehensive portfolio of workforce solutions. Along with industry specific, talent-centric staffing across a range of specializations- Technology, Engineering, Scientific, Clinical Research, Digital, Creative, Marketing, Profession, Mindlance provides Managed Recruitment services- RPO and Direct + Diverse Sourcing, and Pay+ Services- EoR/Payroll, IC Compliance and AoR.Mindlance is also generating alternative talent pipelines that prioritize diversity through three Diverse Talent Acceleration offerings: (1) RebootTalent, a diverse returning talent acceleration service (2) Mindlance Diversphere, a private diverse talent pool aggregated from a network of diversity partnerships and (3) Quintrix Solutions, an upskilling recruit-train-deploy service.With a year-over-year growth rate of 20% and an annual revenue of over $400 million and growing, the Mindlance story is one of calculable achievement, made meaningful by the commitment to grow a mindful way that creates balance in the work and societal ecosystem.Visit www.mindlance.com to learn more about us and our latest job openings.STAFFING INDUSTRY ANALYSTS RECOGNITIONS:Fastest Growing U.S. Staffing Firms (2022, 2021, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011)Largest U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015)Largest Diversity-Owned U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015)Largest IT Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017)Largest Clinical & Scientific Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017)

Company details

Company typeLarge
IndustryStaffing & Recruiting
Company size1001 - 5000

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Job description

About the Team:
Meta Robotics Studio (MRS) Data Operations runs large-scale robot teleoperation and wearable data collection used to train robot manipulation models. The team builds the data pipelines, reporting infrastructure, and operator-facing tools that give the organization visibility into how much data is being collected, how efficiently, and at what quality.

Job Overview:
We are hiring an experienced Data Engineer to design, build, and own the data models, pipelines, and reporting that this operation runs on. Today a meaningful amount of operational reporting is assembled by hand; a significant part of this role is replacing that with automated, trustworthy systems.
This is an embedded, high-visibility role rather than a ticket-queue role. You will work directly with robot operators, site leads, and program managers, translate their questions into durable data models, and own the numbers that appear in leadership reviews.

Must-Have Skills:
Strong cross-functional partnership and communication — able to work with senior stakeholders up to director level, and to clarify, challenge, and push back constructively
Experience setting up data architecture and pipelines for an organization, including dimensional modeling and ownership of production pipelines end to end (correctness, freshness, backfill).
Strong hands-on technical depth in the specific stack: Python, advanced SQL on very large partitioned tables in a distributed query engine, and pipeline orchestration.

Nice-to-have Skills:
Smaller company, startup, or pure-tech background — scrappier, with natural exposure to back-end systems and cross-team work.
Robotics, sensor, or time-series data experience (ROS bags, MCAP), or multimodal/unstructured data at scale.
Working knowledge of TypeScript/React, enough to extend an internal web app to surface new metrics.

Years of overall experience required
5+ years minimum (6–7 ideal)

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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