Grow your career with a growing organization

Whether they’re helping people reach their long-term financial goals or providing personal wealth management strategies, every associate contributes to changing the lives of those we serve for the better. When it comes to job satisfaction, that’s hard to beat. And from a personal satisfaction perspective, you’ll enjoy the freedom to support causes that matter to you and experience a truly inclusive work environment. Your future starts now.

The Job:

The Senior Data Engineering Manager will lead a team of Data Engineers responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders. As part of the Data Team, you will leverage cloud-based infrastructure to implement technology solutions that are scalable, resilient, and efficient. The Senior Data Engineering Manager will collaborate with Data Analysts, Data Scientists, DBAs, cross-functional teams, and business stakeholders to tackle everyday problems in an innovative way. The position offers the opportunity to influence architectural direction and design patterns. You will provide technical expertise to your team as they develop, implement, and operate data engineering solutions.

The ideal candidate must have experience managing and mentoring a team of data engineers; as well as be a hands-on contributor working with all aspects of the software development lifecycle, from design to deployment. The hands-on portion of this role could amount to 50-60% of the job, at least until our data engineering team grows. As such, we are looking for someone who has strong and recent experience working hands-on with Python and AWS for ETL work.

The Candidate:

Our team is searching for a dynamic candidate with a deep understanding of data strategies, platforms, and data transformation processes that support analytics, machine learning, and visualizations. Applicants should have experience guiding a team of data engineers, creating technical roadmaps, and recommending strategies for data pipelines/integration. Strong critical thinking skills, the ability to synthesize complex problems, and a talent for transforming data to create solutions and condense complex concepts is necessary to be successful in this role. Candidates must have the ability to develop project plans, facilitate prioritization timelines, allocate team resources, and take ownership of assigned technical projects in a fast-paced environment. Excellent written and speaking communication skills are required as we work together in a collaborative, cross-functional environment and interact with the full spectrum of business divisions. 

Qualifications:

• Bachelor of Science in Computer Science or equivalent.

• At least 7 years of post-degree professional experience

• 4+ years development experience building and maintaining ETL pipelines in a Data Warehouse environment (Redshift preferred)

• 5+ years of Python development experience

• Experience hiring and leading a team of 3+ data engineers including supervision, fostering teammates’ productivity, goal-setting, and professional growth

• Strong communication and interpersonal skills to initiate and drive projects

• Experience with AWS integrations such as Kinesis, Firehose, Aurora Unload, Redshift, Spectrum, Elastic MapReduce, SageMaker and Lambda

• Experience with provisioning data sets to integrate with analytics tools such as Tableau, Quicksight or similar

• Experience performing code reviews and ensuring data engineers follow best practices coding standards

• Deep understanding of writing test cases to ensure data quality, reliability and high level of confidence

• Track record of implementing new technologies to improve data quality and reliability, eliminating gaps and inconsistencies

• Continuously improve quality, efficiency, and scalability of data pipelines

• Expert skills working with SQL queries, including performance tuning, utilizing indexes, and materialized views to improve query performance

• Proficiency with the design and execution of NoSQL database to optimize Big data storage and retrieval

• Experience with API code integrations with external vendors to push/pull data between organizations

• Familiarity with data orchestration pipeline using Argo or Airflow.

• Knowledge of analytic tools such as R, Tableau, Plotly, Python Pandas

• Financial services industry experience is a plus

This role is available as a work from home position offered nationwide.

Personal Capital is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.  

Please note that this role is being posted by Personal Capital, an Empower company. Personal Capital roles are cross-posted to the Empower web site and are also available at https://www.personalcapital.com/company/jobs.  For more information about Personal Capital, please visit www.personalcapital.com

What we offer you

We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.

• Medical, dental, vision and life insurance
• Retirement savings – 401(k) plan with generous company matching contributions (up to 5%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
• Tuition reimbursement up to $5,250/year
• Business-casual environment that includes the option to wear jeans
• Generous paid time off upon hire – including a paid time off program plus nine paid company holidays and three floating holidays each calendar year
• Paid volunteer time — 16 hours per calendar year
• Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
• Business Resource Groups (BRGs) - internal networks that rally around common interest, experiences and identities such as race, ethnicity, gender, ability, military status and sexual orientation. BRGs play a vital role in educating and engaging our people and advancing our business priorities.

The salary range below describes the minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.

Base Salary Range

Location

We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.