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Overview We are seeking a highly skilled and motivated Data Engineer responsible for supporting the Credit Union and Data & Analytics with efficient data solutions that are dynamic and automated. This role will take part in designing, creating and maintaining a framework for importing and transforming data into tables to be used by our analysts for strategic insights. This role will be creating and scheduling and triggering data pipelines, ETL processes and automated validation/alerting of these processes. AI LLM models are encouraged to be utilized for researching, creating and maintaining ETL data routines when possible. This role will be building, maintaining, and documenting the framework for how data solutions such as API connections, database tables & csv extracts flow into the data warehosue for Data Integration projects. T h is role will be using Snowflake tools such as Snowpipe, SnowSQL. Openflow, Native SDK for Connectors, & CLI. Currently using Microsoft’s Azure Data Factory for connecting to network sources as well as reviewing other tools. Languages utilized include Python, some Java and heavy SQL for querying and transforming data as well. Qualifications 2 to 4 years writing SQL, utilizing ETL transformation tools & Python for transforming data. E xperience with Data Importing from APIs, files and other data sources, Transformation, Pipelining, Data Extraction and some Data Mining E xperience in financial institutions preferred Experience with Snowflake and Azure Data Factory preferred. Essential Functions Partnering with business users, programming, technology teams, data analysts, and project management teams to define requirements and develop and implement solutions within a mature agile framework. Creating and maintaining an automated ETL framework within Snowflake and other ETL tools based on business transformation rules. Utilizing the version control function within the ETL tools manage and track data automation r e visions. W o r king with business partners to maintain Data Warehouse configuration documentation. Utilizing Azure Data Factory, Snowflake & Python tools to create data automations and reports. Utilizing Python programs to perform custom transformations with data. Validating and cleansing data and other alert automations with predefined quality assurance checks to ensure clean and consistent data availabil Optimizing on-time delivery of data for analyst team and custom extracts to 3 rd party systems. Diagnosing and troubleshooting data-related issues P e r form other duties as assigned and support all areas of the credit union. Lo cate and define new process improvement opportunities. Required Education And Experience B a chelor’s degree in Computer Science, Mathematics, Business, or equivalent experience and a minimum of two years of related experience in a financial institution. License or Certification: Bondable Acceptable Credit History Competencies Core CU systems, databased protocol, and programming capability Must be able to work on multiple projects, strong problem-solving ability. Communication Skills Mathematical Skills Reasoning & Troubleshooting Ability Pay Range USD $88,740.00 - USD $133,110.00 /Yr. Compensation & Benefits Health, Dental & Vision Benefits Bonus opportunity 401(k) with match and profit sharing Flexible Time Off Empeople Credit Union is an EEO/Affirmative Action Employer EMPLOYMENT AT WILL Empeople Credit Union employment is at will. Employees may resign from Empeople Credit Union as they choose. Similarly, Empeople Credit Union may terminate an employee at any time, with or without notice or cause. Nothing in this Handbook or any other manual or policy adopted by Empeople Credit Union in any way alters the at-will nature of employment at Empeople Credit Union. False statements or material omissions in the Application for Employment will be grounds for immediate termination.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.