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Senior Data Engineer

Mindlance

Role overview

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Engineering or a related field
  • 5+ years of data engineering experience
  • Strong Python and SQL skills
  • Hands-on experience building production data pipelines in AWS

Responsibilities

  • Design and implement the NextBrain cloud data architecture
  • Build scalable ingestion, transformation, storage and serving pipelines on AWS
  • Develop pipelines for operational, historical, engineering, application and contextual data
  • Design data models optimized for analytical applications and AI consumption

Key facts

Hard skills

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

Job Title: Senior Data Engineer
Location: REMOTE
Duration: 12 Months

Role Summary
We are seeking a Senior Data Engineer to design and build the cloud data foundation supporting NextBrain Off-Prem. NextBrain depends on large volumes of operational, engineering, analytical and contextual information. This role will develop the pipelines, storage architecture, data models, APIs and quality controls required to make that information securely and reliably available to NextBrain applications and AI capabilities. The ideal candidate combines modern AWS data engineering expertise with a strong understanding of data quality, time-series information and scalable data architectures.

Key Responsibilities
  • Design and implement the NextBrain cloud data architecture.
  • Build scalable ingestion, transformation, storage and serving pipelines on AWS.
  • Develop pipelines for operational, historical, engineering, application and contextual data.
  • Design data models optimized for analytical applications and AI consumption.
  • Establish appropriate storage patterns across relational, object, time-series and analytical data stores.
  • Develop APIs and services enabling NextBrain tools and agents to retrieve data consistently.
  • Establish automated data-quality validation, reconciliation and monitoring.
  • Implement metadata management, lineage, cataloging and data-governance practices.
  • Design appropriate mechanisms for data segregation and access control.
  • Optimize data pipelines for scalability, performance, reliability and cost.
  • Partner with operational subject-matter experts to validate the meaning and quality of source data.
  • Support migration of relevant information from document-based repositories into structured cloud-hosted data services.
  • Collaborate with AI/ML engineers to create reliable datasets, feature pipelines, retrieval mechanisms and knowledge sources.
  • Establish reusable data integration patterns that accelerate onboarding of additional NextBrain use cases and sites.

Required Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, Engineering or a related field.
  • 5+ years of data engineering experience.
  • Strong Python and SQL skills.
  • Hands-on experience building production data pipelines in AWS.
  • Experience with AWS data technologies such as S3, Glue, Lambda, RDS/Aurora, Redshift, Athena, Kinesis or equivalent technologies.
  • Experience with ETL/ELT architecture and orchestration frameworks.
  • Strong knowledge of relational and non-relational database design.
  • Experience implementing automated data-quality processes.
  • Experience building APIs or data services.
  • Understanding of data governance, lineage, security and access-control principles.

Preferred Qualifications
  • Experience with time-series data.
  • Experience with streaming/event-driven architectures.
  • Experience with industrial IoT, SCADA, historians or operational technology data.
  • Experience with energy-generation assets such as solar, battery storage, wind or conventional generation.
  • Experience designing data architectures supporting AI/ML and generative AI applications.
  • Experience with vector databases and retrieval architectures.
  • Experience working with high-volume telemetry datasets.

What Success Looks Like
NextBrain applications should have a trusted, governed and scalable way to access data, with substantially less application-specific data plumbing and clear visibility into data quality when results do not match expected plant behavior.

EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

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Marcus Rivera

Chief Revenue Officer

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