Data Engineering Manager

Spokeo; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Bonus program

Equity plans

401K

100% medical/dental/vision coverage

Unlimited employee PTO

Job summary

A people intelligence platform is seeking a Data Engineering Manager to lead a cross-functional team in building a state-of-the-art analytics platform. This role involves managing data solutions and collaborating closely with product owners and data teams. Ideal candidates have over 7 years of experience in Business Intelligence with strong cloud skills, expertise in big data technologies, and exceptional leadership qualities. The position offers competitive benefits including medical coverage and unlimited PTO.

Qualifications

• 7+ years of experience in Business Intelligence and Data Warehousing.
• 5+ years of experience with cloud solutions (AWS, Azure).
• Expertise in data lakes, warehouses, modeling, ETL, and big data platforms.
• 5+ years building data pipelines and data architecture

Responsibilities

• Lead and manage data engineers to build data solutions for business intelligence.
• Collaborate with data scientists and executives to fulfill data needs.
• Document, automate, and enforce data quality and integrity best practices.
• Lead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologies
• Define and manage SLAs for all data sets and reporting processes
• Develop software engineering best practices, guidelines, procedures, and scalable frameworks
• Document, automate, and enforce data quality, data integrity, and QA practices

Skills

Business Intelligence

Data Warehousing

AWS

Big Data Technologies

Data Pipeline Orchestration

SQL

Problem-solving

Communication Skills

SQL

Education

Bachelor's degree in Computer Science

Tools

Airflow

Spark

Hadoop

MapReduce

Hive

Kafka

Job description

About Spokeo

Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo’s 60 billion public records to improve customer research, help verify information, and prevent fraud.

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership.

About This Opportunity

Spokeo is seeking a Data Engineering Manager to help build a state-of-the-art analytics platform. As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that meet our data, reporting, and analytics needs. You will provide leadership and technical skills to champion and implement data governance, data integrity, data engineering standards, data integration, and QA best practices. You will partner closely with our Product Owners to understand requirements, provide technical guidance to the team, and ensure the timely delivery of quality solutions.

What You’ll Do

• 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

What You’ve Done

• 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

Working at Spokeo

Spokeo offers a bonus program, equity plans, and 401K. Once a year, we do a discretionary, merit-based salary increase. Additional benefits include 100% medical/dental/vision coverage and unlimited employee PTO.

Spokeo extends written offers to candidates who successfully complete their selection process. Spokeo’s offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. A final offer will depend on several factors, including, but not limited to, marketplace competition, job leveling, the candidate’s experience, skills, etc.

Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy

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. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.

Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends, reunite with families, and protect against fraud. Additionally, our 12 billion records and over 250 million unique profiles help business professionals locate people and assets, research criminal investigation subjects, and more.