Summary
We are currently looking for someone to lead our data engineering team. In this role, you will have the opportunity to build our client facing analytics dashboards, streamline and improve our reporting building solutions, mentor and build the data engineering team.
mPulse is looking for an energetic candidate with a desire to work with a Best in Class team in a fun, fast paced, collaborative environment.
We d like a player-coach leader (reporting to the Director of Data Products) who gets data pipelines (especially in a cloud environment) for analytics, reporting, and data science. This individual will be managing a high-performing and talented team of data engineers. This person should be able to support our high growth, not get overwhelmed by the fast-paced environment and support, mentor and lead your team to with the latest and greatest techniques to help the team deliver excellent quality data products.
Benefits
Permanent Flexible Hybrid work schedule (remote)
Medical insurance
Dental insurance
Vision insurance
Prescription drug coverage
401K
401K with company match
Life Insurance
Health Spending Account (HSA)
Flex Spending Account (FSA)
Paid holidays
Phone/Internet Stipend
Paid time off
Employee Referral Program
Community service programs
Culture
mPulse Mobile is reimagining health engagement to inspire healthier lives and deeper relationships between healthcare organizations and their consumers. Healthcare's leading Conversational AI platform combines with award-winning health education for the streaming age to deliver tailored digital health engagement that educates and activates healthcare consumers. With over a decade of experience, 100+ healthcare customers and more than 300 million conversations annually, mPulse Mobile has the data, the expertise and the solutions to drive healthy behavior change.
mPulse Mobile delivers wellbeing for the streaming age through a modern learning platform and cinematic content created with popular experts. mPulse drives engagement content that helps its customers reach more consumers to serve vulnerable populations and improve health outcomes.
Our Core Values:

• Accountability Take ownership. Execute with intent. Exceed client expectations.
• Recognition Be positive. Encourage others. Celebrate success.
• Collaboration & Learning Share what you know. Listen openly. Stay curious.
• Thrive Cultivate well-being. Be inclusive. Find balance.
• Innovation Inspire creative solutions. Activate consumers. Drive outcomes.
• Commitment Work with purpose. Make an impact. Help us win.

Perks and Highlights:

• Enjoy Flexible PTO and flexible work hours
• Hybrid, remote-first working model with quarterly team meetings (travel paid by mPulse)
• Two office locations: Encino, CA and Minneapolis, MN
• mPulse Mobile covers 100% of employee only premiums for selected plans as well as 25% dependent coverage
• Full Vision and Dental - Dental and Vision individual premiums paid by mPulse
• 401K Program with a 4% match
• 3 Weeks Paid Maternity/Paternity Leave
• Wellness and Work from Home stipend
• Virtual Happy Hours & events
• Weekly All-Hands meetings giving regular access to leadership
• Several team interest groups including: Diversity, Inclusion, & You (D.I.Y) committee, Culture Club, and mPulse Mobilize
• Laptop fitness station in LA Office
• Ping pong conference table and Foosball
• Free snacks and drinks

Responsibilities

• Lead and mentor the data engineering team
• Develop and execute on data engineering strategy set by the Director and CTO
• Hands-on development and maintenance of current data products including data streaming, insights dashboards and custom report builder
• Ensure all data product comply with our Information Security and Data Privacy requirements
• Ensure systems adhere to SLAs and SDLC processes
• Collaborate with clients, business stakeholders to ensure that data products are aligned with business and client goals
• Skills, Abilities, and Experience:
• Experience designing, developing and maintaining data pipelines using Python, SQL and AWS data services
• Deep hands-on experience building and managing data engineering teams and products
• Experience working on AWS data products such as Redshift, S3, Kinesis, and Lambda.
• Thorough understanding of distributed frameworks/servicesThorough knowledge of and experience using Redshift/Postgres, Airflow, and other data-related products to build solutions for both business clients and internal data science teams.
• Experience working in an Agile/Scrum environment
• Experience with AWS cloud computing and data services

Other Qualifications:

• Minimum of 3 years experience with data engineering
• Experience developing software using Python/Javascript, SQL, Shell, Linux, Docker/Kubernetes
• Applicant must be a US citizen as the position will be required to handle sensitive data (DoD data) only accessible to US Citizens
• Have managed or led a data engineering team in a high growth environment
• Familiar with or experience working in highly regulated industries such as healthcare or finance.
• Understanding of all phases of SDLC (especially in an Agile/SCRUM environment)
• Masters or Bachelors with 4 years of related work experience in Computer Science, Computer Engineering, Physics, Math, Economics, or related field that demonstrates knowledge of algorithms, software engineering principles
• Excellent written and verbal communication skills with strong problem solving and troubleshooting skills

Behavioral Competencies:
Attention to Detail
Independent Self-Starter
Highly Organized
Critical Thinker
Problem Solver
Excellent Communicator
Ability to Prioritize
Team Work & Collaboration
Multi-Tasker with Strong Sense of Urgency
Requirements
Authorized to work in the US without sponsorship
Minimum Bachelors Degree
Knowledge in: SQL
Knowledge in: Python
Knowledge in: Software Development Life Cycle
Knowledge in: People Management
Equal Opportunity Employer
Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.
Requisition #ckwpte6jw76pr0po3lpwt3sil