Data Engineering Manager

When you join the Members 1st team, you become part of something much bigger than a credit union. You become part of our faM1ly-a tight-knit bunch with big dreams and even bigger values. It is an exciting time for us as we continue to grow, and we hope that you will choose to grow along with us. Wanting the absolute best for our associates means more than just competitive pay. It means fantastic healthcare, paid benefits, opportunities for professional advancement and work-life balance - and best of all, a place where you are accepted and respected for your individuality.

The Data Engineering Manager is responsible for leading and managing the data engineering team. The roles primary objective will be to design, develop, and maintain scalable data pipelines and data solutions that support our growing data needs. The role will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure seamless data integration and availability. Expertise in data engineering and team leadership will be essential in establishing a solid foundation for data-driven innovation and excellence.

Responsibilities include but not limited to:
Team Leadership and Management:
* Lead, mentor, and manage a team of data engineers, providing technical guidance and support for their professional growth.
* Set performance goals, conduct regular performance evaluations, and ensure the team delivers high-quality solutions.
Data Pipeline Design and Development:
* Design and implement end-to-end data pipelines to efficiently extract, transform, and load (ETL) data from various sources.
* Optimize data pipelines for performance, scalability, and reliability.
Data Management:
* Manage databases, data warehouses, and data lakes to ensure data integrity, security, and performance.
* Implement data retention and archival policies to comply with data governance and regulatory requirements.
* Work with cloud platforms (e.g., AWS, Azure, GCP) to leverage data services and infrastructure.
Data Integration and Governance:
* Collaborate with cross-functional teams to integrate data from different sources and ensure data consistency and integrity.
* Implement data governance practices to maintain data quality and compliance.
Data Architecture and Modeling:
* Create and maintain data models that support business needs and analytical requirements.
* Evaluate and recommend new data technologies and tools to enhance data engineering capabilities.
Performance Optimization:
* Identify opportunities to improve data processing performance and efficiency.
* Conduct performance tuning and optimization of data pipelines and databases.
Collaboration and Communication:
* Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver data solutions.
* Present technical concepts and solutions to non-technical stakeholders in a clear and understandable manner.

Internal Data Warehouse Development & Administration work includes designing, developing, implementing, and maintaining a data warehouse to collate and integrate current/historical data from various sources/systems within an organization.
* Preparing data verification and testing methods for data/applications loaded into the warehouse to ensure compatibility across different sources Implementing procedures for maintenance, monitoring, backup, and recovery for the data warehouse and related systems. Conducting research into new data warehouse applications and determining viability for adoption.
* Requires knowledge of ETL (Extraction, Transformation, and Loading), reporting and database technologies

IT Database Administration work includes designing, configuring, and managing databases to ensure the integrity, security and accessibility of the organization's data including:
* Defining standards for physical data storage, maintenance, access and security administration Performing backup and recovery using Database Management Systems Configuring database parameters and defining data repository requirements, data dictionaries, and warehousing requirements.
* Designing and implementing approaches to improve database performance, capacity, and scalability
Level: A Manager (M3) manages experienced professionals who exercise latitude and independence in assignments.

Responsibilities typically include:
* Policy and strategy implementation for short-term results (1 year or less).
* Problems faced are difficult and often complex.
* Influences others outside of own job area regarding policies, practices and procedures.

SKILLS
* Strong expertise in data engineering concepts, data pipelines, and ETL processes
* Proficiency in programming languages like Python, Java, Scala, or others commonly used in data engineering
* Experience with cloud platforms and services such as AWS, Aure, or GCP
* In-depth knowledge of data warehousing, data modeling, and database management systems
* Familiarity with big data technologies like Databricks, Spark or similar platforms
* Leadership and management experience, including coaching and developing a team
* Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders
* Proficiency in working with SQL and NoSQL databases

COMPETENCIES
* Effective knowledge
* Accountability and self-management
* Teamwork and leadership
* Communication
* Innovation and problem-solving

WORKING CONDITIONS/PHYSICAL DEMANDS
* Ability to communicate effectively in English, both orally and in writing
* Visually able to perform activities such as preparing and analyzing data and figures, viewing a computer terminal, and extensive reading
* Ability to sit for extended time periods
* Sufficient manual skill for operation of PC keyboard and other standard office equipment
* Ability to travel, including occasional overnight travel
* Ability to exert minimum amounts of force occasionally to lift, carry, push, pull or move objects

8-10 years of related experience; 3-5 years of leadership/management experience

We are excited to offer a competitive salary for this position. This figure serves as the entry point in our salary range, and there is potential for the actual salary to be higher based on a variety of factors, such as your experience, skills, education, and location. We believe in recognizing and rewarding talent, so our compensation packages are thoughtfully designed to reflect the unique qualifications and contributions of each candidate.

At Members 1st, we look for individuals who will show up as their whole self because we value diversity, inclusion, and belonging, as well as people who believe in the philosophy of, WE>me. To be sure you align with our company mission, vision, values and culture reference the information below.

Company Culture is at Our Core

If there is one concept, we want you to understand about us, it is this. WE. It is a simple little word but means everything here. We think as one. One faM1ly. One community. One place where everyone belongings. Everything we do is in the best interest of all of us.

What WE Believe

Our Missions: WE serve our members, associates, and communities through support, empowerment, and meaningful relationships.

Our Vision: WE are growing our faM1ly by delivering everything they need to live well financially, through all life's moments and milestones.

Our Values: WE deliver unparalleled experiences through a culture of WE. WE > me. WE are servant leaders- at work and in the communities we serve. WE are financially safe and sound stewards of members dollars. WE are faM1ly.

Join a company that grows with you - personally and professionally

Members 1st provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.