Data Engineering Manager at Spokeo

Job Description:

Latest job information from Spokeo for the position of Data Engineering Manager. If the Data Engineering Manager vacancy in United States matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Spokeo for the position of Data Engineering Manager below matches your qualifications.

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:

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 that 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.

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Job Info:

• Company: Spokeo
• Position: Data Engineering Manager
• Work Location: United States
• Country: US

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Data Engineering Manager at the office United States above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.