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 Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality. As a remote-first company, we are able to hire team members residing in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY. In addition to a highly competitive base salary, our generous benefits include: • annual bonus program • stock options • 401K matching • 100% medical/dental/vision coverage • unlimited PTO • mental health resources • paid home office equipment • fitness reimbursements • support paying for courses • and more Hiring at Spokeo We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills. Privacy Notice for Candidates: spokeo.com 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. Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution. Use of Artificial Intelligence in Our Hiring Process Spokeo may use artificial intelligence-enabled tools to support portions of the recruiting process. These tools may help our recruiting team organize, review, and summarize application materials, candidate experience, and interview information. They may also identify potential inconsistencies or verification signals in application materials for further human review. AI-enabled tools assist our recruiting team but do not replace human judgment. Employment decisions are made by people based on a candidate’s qualifications and the role's requirements. #LI-Remote

Requirements

Must-haves

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
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
As a remote-first company, we are able to hire team members residing in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY.
In addition to a highly competitive base salary, our generous benefits include:
mental health resources
paid home office equipment
fitness reimbursements

Nice-to-haves

annual bonus program

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsazuremlsqlai

Platform: teamtailor
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto