Data Engineering Manager

About the role

Lead a diverse data engineering team at Spokeo to design a scalable analytics platform, own data quality, and partner with product and analysts to unlock insights.

Responsibilities

• Lead and manage data engineers to build data solutions for our business intelligence needs
• Lead a cross-functional team in building a state-of-the-art data analytics platform
• Collaborate with data scientists, analysts, product managers, and executives to understand and fulfill our data needs
• Lead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologies
• Define and manage SLA’s for all data sets and reporting processes
• Develop software engineering best practices, guidelines, procedures, and repeatable and scalable frameworks
• Document, automate, and enforce data quality, data integrity, and QA best practices

Requirements

• 7+ years of experience in Business Intelligence and Data Warehousing
• 5+ years of experience with cloud solutions (AWS, Azure)
• 5+ years of experience with big data technologies (Spark, Hadoop, MapReduce, Hive, Kafka)
• 5+ years of experience with data pipelines orchestration tools like Airflow
• 2+ years of experience managing data engineering teams, providing technical guidance, and mentoring data engineers
• Expertise in data lakes, warehouses, modeling, ETL, and big data platforms
• Familiarity with MLOps to help design, automate, and streamline the entire lifecycle of ML models
• Expertise in RDBMS, SQL, query optimization, and security
• A Bachelor’s degree in Computer Science, Information Management, or a related field
• Attention to detail, excellent problem-solving ability, and strong communication skills

Qualifications

• Expertise in data engineering and analytics
• Experience with AWS and other cloud technologies
• Strong understanding of data warehousing and data modeling
• Experience with data pipelines and ETL processes
• Ability to mentor and lead a team
• Strong problem-solving and communication skills

Skills

• Data engineering
• Data warehousing
• Data modeling
• Data pipelines
• Cloud technologies (AWS, Azure)
• MLOps
• RDBMS, SQL

Benefits

• Annual bonus program
• Stock options
• 401K matching
• 100% medical/dental/vision coverage
• Unlimited PTO
• Mental health resources
• Paid home office equipment
• Support paying for courses

Pay

$172,800 - $206,100 annually

Schedule

Full-time, remote position

Department

Data

Role

Data Engineering Manager

Locations

Remote, United States

Remote status

Fully Remote

Equal Opportunity Employer

Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Privacy Notice for Candidates

Privacy Notice for Candidates