Lead Data Engineer
Lead Data Engineer
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Job Description
Company
Federal Reserve Bank of DallasWe are dedicated to serving the public by promoting a strong financial system and a healthy economy for all. These efforts take a team of dedicated individuals doing many different jobs. Together were creating a workplace where talented people can thrive and we welcome your unique background and perspective to help present the best possible solutions for our partners.Location: #LIHybrid
About the Role:
The Lead Data Engineer serves as an integral member of a national team responsible for supporting the core functions of the Credit Risk Management business line. As a Lead data Engineer specializing in modern data engineering you will play a crucial role in our data ecosystem leveraging your expertise in AWS tools scripting data analytics and software development. Collaborating with crossfunctional teams you will be responsible for designing implementing and maintaining data pipelines ensuring seamless integration between onpremises and cloudbased environments. Your role will involve working closely with data analysts QA engineers architects and DevOps teams to meet project goals efficiently and effectively.
The Data Engineer will be operating under a clear framework of accountability with substantial autonomy. The successful candidate will develop a strong domain knowledge of the relevant business area/s managing key responsibilities to include requirement analysis code test debug document implement and maintain data and/or analytics solutions.
You Will:
- Develop and maintain data pipelines between onprem relational databases and AWS cloud environment using AWS tools such as DMS Glue Redshift (Stored Procedures) and cloud databases.
- Utilize strong scripting skills in Python for automation and data manipulation tasks.
- Collaborate with CICD DevOps teams using tools like GitLab for continuous integration and deployment.
- Lead the team of data engineers in Agile framework practices assisting with project planning estimation and design.
- Evaluate business needs translate them into technical requirements and document artifacts accordingly.
- Monitor maintain and enhance data and application processes ensuring adherence to SLAs and process compliance.
- Proactively identify and implement process improvements to optimize data workflows and enhance efficiency.
- Lead and contribute endtoend implementation of largescale software development projects ensuring highquality deliverables.
- Interpret and analyze data sets using statistical techniques providing valuable insights to support business decisionmaking.
- Build dashboards and reports using BI solutions like Tableau to visualize data trends and patterns.
- Demonstrate strong expertise in cloud core technologies and stay updated with emerging trends in data engineering.
You Have:
- 15 years of experience in Data engineering with a focus on Cloud Data Engineering.
- Proficiency in scripting languages such as Python for automation and data manipulation tasks.
- Extensive experience with AWS tools including DMS Glue Redshift and cloud databases.
- Strong data analytics skills with experience in interpreting and profiling data sets.
- Experience building dashboards and reports using BI solutions like Tableau.
- Familiarity with CICD practices and tools like GitLab for version control and deployment.
- Handson experience and expertise working in Agile framework environments.
- Excellent communication and collaboration skills with the ability to work effectively in crossfunctional teams.
- Strong problemsolving skills and attention to detail.
- Proven ability to manage multiple projects and priorities simultaneously.
Our Benefits:
Our total rewards program offers benefits that are the best fit for you at every stage of your career:
- Comprehensive healthcare options (Medical Dental and Vision)
- 401K match and a fully funded pension plan
- Paid vacation holidays and volunteer hours; flexible work environment
- Generously subsidized public transportation and free parking
- Annual tuition reimbursement
- Professional development programs training and conferences
- And more
Notes:
This position may be filled at various levels based on candidates qualifications as determined by the department.
This role allows for the employee to work in a hybrid manner with some work conducted onsite at the Federal Reserve work location and some work conducted remotely. Specific schedule details will be discussed during the recruitment process.
This position requires access to confidential supervisory information and/or FOMC information which is limited to Protected Individuals as defined in the U.S. federal immigration law. Protected Individuals include but are not limited to U.S. citizens U.S. nationals and U.S. permanent residents who either are not yet eligible to apply for naturalization or who have applied for naturalization within the requisite timeframe. Candidates who are permanent residents may be eligible for the information access for this position if they sign a declaration of intent to become a U.S. citizen and pursue a path to citizenship and meet other eligibility requirements. In addition all candidates must undergo an enhanced background check and comply with all applicable information handling rules.
The Federal Reserve Bank of Dallas is proud to be an Equal Opportunity Employer and is committed to ensuring equal employment opportunity to all applicants.
If you need assistance or an accommodation due to a disability please notify your Talent Acquisition Consultant.
Full Time / Part Time
Full timeRegular / Temporary
RegularJob Exempt (Yes / No)
YesJob Category
Data Analytics Family GroupWork Shift
First (United States of America)The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.
Always verify and apply to jobs on Federal Reserve System Careers or through verified Federal Reserve Bank social media channels.
Employment Type
Full-Time
