Data Engineering Manager, Analytics

Lensa; Frankfort (KY); Remote; USD 248,000 - 280,000; Full time

Job summary

An innovative company is seeking a Senior Data Engineer to design and develop advanced data solutions that empower decision-making across various business domains. This role involves leading the design of data solutions, collaborating with cross-functional teams, and leveraging ETL frameworks to manage large data volumes. With a focus on creativity and innovation, the successful candidate will utilize their expertise in data warehousing and programming to drive impactful results. Join a forward-thinking organization that values diversity and offers a supportive environment for all team members.

Benefits

Bonus

Equity

Comprehensive Benefits

Qualifications

• Master's degree in a related field with 3 years of experience required.
• Expertise in ETL techniques and data warehousing architecture essential.

Responsibilities

• Design and develop innovative data solutions for diverse domains.
• Lead data solution design efforts and support end users on data usage.
• Collaborate with teams to build ETL and reporting frameworks.

Skills

Data Warehouse

ETL Design and Implementation

Object-oriented Programming

SQL

Data Modeling

Data Analysis

Performance Tuning

Python

Perl

PHP

Education

Master’s Degree in Computer Science or related field

Tools

MicroStrategy

MapReduce or MPP systems

Job description

Senior Data Engineer - Remote / Telecommute

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Required Skills:

1. Design and develop creative and innovative solutions to manipulate and transform data coming from diverse domains and components operating in facebook.com, such as advertisements and pages, as well as other custom software systems and databases.
2. Design, architect and develop data solutions that help product and business teams make data-driven decisions.
3. Lead data solution design efforts from beginning to end, as well as process for the development and implementation of data integration for external insights.
4. Work on Data Warehouse and operational Data Store.
5. Leverage a homegrown Extract, Transform, Load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.
6. Collaborate with data infrastructure and engineering teams to build and extend cross-platform ETL and reports generation frameworks.
7. Provide consultation to business partners, analysts, managers, end users and developers to clarify work objectives, determine project scope, obtain consensus, identify problems and recommend solutions.
8. Support end users on ad hoc data usage and serve as a subject matter expert on functional matters.
9. Develop ETL using Python, Perl, PHP or similar technologies.
10. Apply expert knowledge of ETL techniques and best practices to manage extremely large volumes of data, Data warehousing architecture, data modeling best practices, MicroStrategy or other similar Business Intelligence (BI) reporting solutions.
11. Work with database programming and performance tuning techniques and strong analytical skills, including the ability to define problems, collect data, establish facts, and draw valid conclusions.

Telecommute from anywhere in the U.S. permitted.

Minimum Qualifications:

Requires a Master’s degree in Computer Science, Applied Sciences, Mathematics, Information Systems, Information Technology, Management or related field and three years of work experience in the job offered or in a computer-related occupation. Foreign Degree Equivalent Accepted.

Requires three years of experience in the following:

• Data warehouse space
• Custom ETL design, implementation and maintenance
• Working with either a MapReduce or an MPP system
• Object-oriented programming languages
• Schema design and dimensional data modeling
• Writing SQL statements
• Analyzing data to identify deliverables, gaps and inconsistencies
• Managing and communicating data warehouse plans to internal clients.

Public Compensation:

$248,920/year to $279,400/year + bonus + equity + benefits

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].