Data Engineer

Pay or shift range: $85,219 USD to $139,941 USD.

At Credit Union 1, we are committed to fostering an inclusive, equitable, and transparent workplace. The salary range is the budgeted amount for this position. Final offers are based on various factors, including skill set, experience, location, qualifications and other job‑related reasons. In line with our salary administration policy, starting base salaries for new hires typically fall in‑between the minimum and midpoint of the designated pay range.

The Data Engineer plays a key role in developing robust data pipelines, managing cloud data warehousing solutions, and delivering impactful analytical solutions to support the credit union’s data initiatives. Their expertise is in data modeling, ETL processes, and data integration which will contribute to the creation of scalable and efficient data architecture. This individual must have excellent analytical and problem‑solving skills, strong leadership and communications skills, and a deep understanding of statistical and data analysis tools.

This position is based out of our Abbott Headquarters (1941 Abbott Rd.) and is open to a remote/hybrid schedule.

• ETL Pipeline Development:
  Develop and optimize Extract, Transform, Load (ETL) pipelines in the cloud environment, ensuring efficient and accurate data processing.
• Data Collection and Analysis:
  Work with the team to collect, clean, and organize data from various sources. Use statistical and data analysis tools to extract insights and identify trends.
• Data Visualization:
  Collaborate with departments to understand data requirements and develop visually compelling and insightful data visualizations using tools such as Tableau, Power BI or similar.
• Business Intelligence and Reporting:
  Develop and implement dashboards, reports, and presentations to communicate data insights and findings to senior management and stakeholders. Identify means to automate manual reporting that is used for purposes of decision‑making, regulatory requirements, or Board presentation.
• Data Quality Assurance:
  Ensure that data is accurate, complete, and consistent by implementing data quality checks and procedures.
• Data Privacy and Security:
  Ensure that data privacy and security policies and procedures are in place and followed.
• Communication
  
  Skills:
  
  Strong communication skills to effectively collaborate with cross‑functional teams, articulate technical concepts to non‑technical stakeholders, and influence decision‑making process.
• Business Acumen:
  Emphasize a deeper understanding of business goals and objectives, with the ability to align data engineering initiatives with broader organizational strategies.

• Experience building and maintaining ETL processes and data integrations.
• Experience in managing all stages of the development lifecycle, including planning, requirements gathering, designing, developing, documenting, testing, training, deployment, governance, security, and support.
• Thorough understanding of how to interpret business needs and translate into solutions.
• Demonstrates support for the corporate mission, vision and values.
• Maintains a positive working relationship with department personnel, including management, supervisory and all other employees.
• Meet the current standards as established for the department in the completion of all assigned duties.
• Responsible for abiding and complying with the policy for compliance with the Bank Secrecy Act and anti‑money laundering laws and regulations (BSA/AML) and the policy for compliance with office of foreign assets control laws and regulations (OFAC).
• Perform other duties as assigned.

• A degree in a related field, such as statistics, mathematics, computer science, or data science or equivalent experience in the industry.
• Minimum 5-7 years of experience in data analytics or related field.
• Strong proficiency in advanced SQL, Python or other relevant programming languages.
• Expertise with databases and connectors like Microsoft SQL, MySQL, Snowflake, Azure data warehousing, AWS data warehousing, Databricks, any other vendor specific data warehouse/lakehouse.
• Experience…