Sr Engineer Data

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.

Job Description: Senior Data Engineer, Empower Personal Wealth (EPW Group), Empower

• You will play a critical role on the Data and Analytics team that’s responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders.

• You’ll leverage cloud-based infrastructure to implement technology solutions that are scalable, resilient, and efficient.

• You will collaborate with Data Engineers, Data Analysts, Data Scientists, DBAs, cross functional teams, and business partners.

• You will architect, design, implement and operate data engineering solutions, using Agile methodology, that empower users to make informed business decisions.

• You are self-motivated & self-directed. You have hands-on experience with all aspects of the software development lifecycle, from design to deployment.

• You have a deep understanding of the full life data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting.

• You will exhibit solid critical thinking skills, the ability to synthesize complex problems, and a talent for transforming data to create solutions that add value to a myriad of business requirements.

• You have the demonstrated ability to facilitate and take ownership of assigned technical projects in a fast-paced environment.

• You have excellent written and spoken communication skills that 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 degree in Computer Science or equivalent.

• At least 7 years of post-degree professional experience, including: 4+ years development experience building and maintaining ETL pipelines. 3+ years of Python development experience.

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

• Experience in mentoring junior team members through code reviews and recommending adherence to best practices.

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

• Track record of advancing new technologies to improve data quality and reliability.

• 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.

• Advanced knowledge of both OLTP and OLAP environments with successful implementation of efficient design concepts.

• 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 job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included in this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason

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, 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.