Mindlance
Posted 65 days agoVerified live 2d ago
Data Analytics & Engineering - Data Engineer III
Brief overview
Remote
$75–$82/hrStated range
135 H-1B approvalsDept. of Labor
12 green cardsCertified filings
SQLPrestoHiveSparkSQLData pipeline developmentAirflowDataswarmPythonData warehousingDimensional modelingSparkHadoopTableauVersion control systems
About the company
Mindlancemindlance.com
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.135H-1B approved
97%approval rate
29new H-1B hires
12PERM certified
$134,674median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202328
202440
202551
202616
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202314
202414
202534
202610
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20234
20242
20255
20261
Top sponsored roles
Software EngineerInformatica MDM AdminAb Initio DeveloperFront-End DeveloperSystems Test Engineer
Sponsored employees from
India
Job description
Summary
Mindlance is a company seeking a Data Engineer III to develop, evaluate, test, and maintain architectures and data solutions. The role involves designing scalable data pipelines, partnering with teams to ensure data quality, and optimizing data models for efficiency.
Responsibilities
- Design, build, and maintain scalable ETL/ELT data pipelines using Meta's internal tools (Dataswarm, Spark, etc.)
- Build and maintain dashboards and reporting tools (Unidash, internal BI platforms)
- Partner with Data Scientists and Product teams to vet data quality and ensure metric integrity
- Develop and maintain production-grade Hive/Presto tables with proper documentation and SLAs
- Monitor pipeline health, troubleshoot data quality issues, and implement alerting
- Optimize query performance and data models for efficiency at scale
- Support ad-hoc data requests and enable self-serve analytics for cross-functional partners
Skills
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field
- 3+ years of experience in data engineering, analytics engineering, or a related role
- Strong proficiency in SQL (Presto/Hive/SparkSQL)
- Experience building and maintaining data pipelines (Airflow, Dataswarm, or similar orchestration tools)
- Experience with Python or similar scripting language
- Familiarity with data warehousing concepts and dimensional modeling
- Strong problem-solving skills and attention to data quality
- 5+ years of relevant experience in data engineering
- Experience with large-scale data processing frameworks (Spark, Hadoop)
- Experience with dashboard/visualization tools (Tableau, Unidash, or similar)
- Experience with logging infrastructure and instrumentation
- Familiarity with version control systems (Git, Mercurial)
- Experience working in a fast-paced, cross-functional environment
- Prior experience at a large tech company
Qualifications
Must Haves
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field
- 3+ years of experience in data engineering, analytics engineering, or a related role
- Strong proficiency in SQL (Presto/Hive/SparkSQL)
- Experience building and maintaining data pipelines (Airflow, Dataswarm, or similar orchestration tools)
- Experience with Python or similar scripting language
- Familiarity with data warehousing concepts and dimensional modeling
- Strong problem-solving skills and attention to data quality
Nice to Haves
- 5+ years of relevant experience in data engineering
- Experience with large-scale data processing frameworks (Spark, Hadoop)
- Experience with dashboard/visualization tools (Tableau, Unidash, or similar)
- Experience with logging infrastructure and instrumentation
- Familiarity with version control systems (Git, Mercurial)
- Experience working in a fast-paced, cross-functional environment
- Prior experience at a large tech company
