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Data Engineer en Credit Union 1

Credit Union 1 · Anchorage, Estados Unidos De América · Hybrid

85.219,00 US$  -  139.941,00 US$

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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.

Pay Range: $85,219/yr. - $139,941/yr.

ESSENTIAL JOB FUNCTIONS:

  • 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.

ADDITIONAL RESPONSIBILITIES:

  • 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.

QUALIFICATIONS:

Minimum Qualifications:

  • 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 with data modeling, schema design, and optimization techniques for data storage and retrieval.
  • Familiarity with big data technologies (e.g. Spark) and serverless computing.
  • Demonstrated proficiency in visual data analytics and business intelligence tools, such as PowerBI, Tableau, or Domo.

Only applicants who meet the minimum requirements for this position will be considered for an interview. This position is open until filled. 

To be eligible for this position, applicants must be legally authorized to work in the United States without restriction.  Credit Union 1 does not provide visa sponsorship. 

Please note: Credit Union 1 does not provide relocation assistance. If selected for an on-site position, candidates will be responsible for relocating to Alaska prior to the agreed upon start date at their own expense. 

Thank you for your interest in this opportunity with Credit Union 1!

 

Background Screening Statement: Candidates selected for a position at Credit Union 1 will be subject to a criminal background check prior to their employment. An offer of employment may be rejected or terminated based on receipt of an unacceptable background screening.  

EEO Statement: Credit Union 1 provides equal employment opportunities to all employees and applicants for employment, prohibiting discrimination and harassment of any type without regard to race, color, religion, sex, age, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identify or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. 

E-Verify Statement: Credit Union 1 participates in E-Verify and will provide the federal government with your form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, Credit Union 1 is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before Credit Union 1 can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer an completed the Form I-9. For more information on E-Verify, or if you believe that Credit Union 1 has violated its E-Verify responsibilities, please contact DHS at 888-897-7781 or dhs.gov/e-verify.com  

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