Data Analytics & Engineering - Data Engineer III

Summary:

The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization’s data assets.

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

MINIMUM QUALIFICATIONS
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

PREFERRED QUALIFICATIONS
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

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

EEO:

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