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ETL Developer (Remote) - job 2 of 2

Company Description

Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. For more information, visit http://www.vericast.com or follow Vericast on LinkedIn.

Job Description

Vericast is seeking for a motivated ETL Developer IV in Data Engineering team to build big data pipelines, marketing campaign automations, and support existing analytics and reporting data requirements. This role will be responsible for expanding our data infrastructure and data pipeline architecture, as well as optimizing data flow and collection towards our Data Lake environment.

The ETL Developer will work closely with our analytics and reporting as well as data scientists on data initiatives and will ensure that optimal data delivery architecture is consistent and always available throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

This position is a perfect fit for someone who really likes to work in an agile team and to contribute their skills for building high quality data-driven marketing products, working collaboratively with other developers and business partners.

KEY DUTIES/RESPONSIBILITIES

  • Develop scalable data pipelines and builds out new integrations to support continuing increases in data volume and complexity.
  • Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
  • Implements processes and systems to monitor data quality, ensure availability and accuracy of production data for key stakeholders and business processes that depend on it.
  • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  • Provide post-deployment support and to quickly respond to and resolve unexpected service problems in production.
  • Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Qualifications

EDUCATION

  • Bachelor of Technology in Computer Science/Information Technology or any related field with 4+ years of experience                OR
  • Master of Science in Computer Science/Information Technology or any related field (Preferred).

 EXPERIENCE

  • 4 + years of experience in Data Engineering or ETL Development role.
  • Strong experience with SQL development, tuning, and debugging; as well as working familiarity with a variety of RDBMS.
  • Experience with PySpark, Python for building solid data pipelines.
  • Hands-on experience with Data Lakehouse, Data warehouse etc.
  • Hands-on experience with Iceberg, Hive, S3, Trino preferred.
  • Hands-on experience with Talend, Red Point or other ETL technologies.
  • Experience with Agile Software Development methodologies.
  • Experience with GitLab, CI/CD process.

 KNOWLEDGE/SKILLS/ABILITIES

  • Solid programming skills in object-oriented/functional scripting languages like Python, PySpark for building data pipelines with experience in testing, logging to ensure quality of code and data observability. (Required)
  • Proficiency in querying with relational databases, query optimization and performance tuning. (Required)
  • Experience in building Data Processing pipelines using ETL tools like Talend, SSIS etc. (Required)
  • Experience with Iceberg, Hive, S3, Trino.  (Preferred)
  • Proficiency in data visualization tools to showcase insights using Tableau, matplotlib etc. (Preferred)
  • Nice to have AWS cloud experiences in Redshift, Lambda, Sage Maker, Glue etc.(Preferred)
  • Excellent data analytical, conceptual, and problem-solving skills.
  • Excellent communication skills to promote cross-team collaboration.

Additional Information

Base Salary: $75,000 - $95,000

The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities.

Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K with company match and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!

At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [email protected]. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.

 #LI-KK1 #LI-REMOTE

Average salary estimate

$85000 / YEARLY (est.)
min
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$75000K
$95000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About ETL Developer (Remote), Vericast

Vericast is searching for an enthusiastic ETL Developer to join our Data Engineering team and work remotely from San Antonio, Texas. If you're passionate about building robust data pipelines and automating marketing campaigns, this role is perfect for you! As an ETL Developer at Vericast, you'll play a key part in expanding our data infrastructure and optimizing our data flow within the Data Lake environment. Your days will be filled with collaborating closely with analytic teams, troubleshooting data challenges, and enhancing data models that empower our decision-making processes. Whether you're developing scalable data solutions or ensuring data quality across multiple projects, your impact will be felt throughout the company. We thrive in an agile environment, and we’re excited for someone like you who loves teamwork and innovation. At Vericast, we not only value exceptional skills in SQL, Python, and data processing tools, but also the ability to communicate effectively with cross-functional teams. Join us, and together we’ll leverage our 150 years of financial services expertise to drive growth and enhance operational efficiencies for our clients. Come contribute to a culture that celebrates diversity and supports your journey toward success!

Frequently Asked Questions (FAQs) for ETL Developer (Remote) Role at Vericast
What are the responsibilities of an ETL Developer at Vericast?

As an ETL Developer at Vericast, your primary responsibilities will include developing scalable data pipelines, automating marketing campaigns, and optimizing existing data infrastructures. You'll collaborate with analytics and business teams to enhance data accessibility and quality while working closely with data scientists on various data initiatives.

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What qualifications are required for the ETL Developer position at Vericast?

To qualify for the ETL Developer role at Vericast, you should possess a Bachelor's or Master's degree in Computer Science or a related field, along with at least 4 years of experience in Data Engineering or ETL Development. Strong SQL skills, proficiency in Python, and experience with tools like Talend or SSIS are essential.

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What tools and technologies should an ETL Developer at Vericast be familiar with?

An ETL Developer at Vericast should be well-versed in SQL development, PySpark, and various RDBMS systems, as well as ETL technologies such as Talend and Red Point. Familiarity with Data Lakehouse, Data Warehousing, and AWS cloud services like Redshift is also advantageous.

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What skills are necessary for success as an ETL Developer at Vericast?

Success as an ETL Developer at Vericast requires solid programming skills in Python and PySpark, proficiency in querying relational databases, and a strong analytical mindset. Moreover, excellent communication skills and adaptability in an agile environment will help you thrive while collaborating with diverse teams.

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What career growth opportunities does Vericast offer for ETL Developers?

At Vericast, ETL Developers can expect numerous opportunities for career growth, including taking on greater responsibilities, exploring advanced technologies, and engaging in continuous learning and professional development. We actively encourage our employees to innovate, which can lead to exciting career advancements.

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Common Interview Questions for ETL Developer (Remote)
Can you describe the ETL development project you are most proud of?

When answering this question, highlight a specific ETL project where you contributed significantly. Outline the challenges you faced, the solutions you implemented, and the positive outcomes achieved, emphasizing teamwork and data-driven strategies.

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What is your approach to troubleshooting data quality issues?

To effectively answer this question, discuss a systematic approach. Explain how you would identify the root cause, utilize monitoring tools, and collaborate with relevant teams to resolve data quality issues promptly.

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How do you prioritize tasks when working on multiple data pipelines?

Share insights about your time management strategies, such as using task prioritization techniques or project management tools. Emphasize your ability to balance tasks based on deadlines and project importance.

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What experience do you have with Agile methodologies?

Discuss specific experiences where you worked in an agile environment. Describe how you participated in sprints, collaborated in cross-functional teams, and adapted to changing project requirements.

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How do you ensure that the data pipelines you build are scalable?

Your answer should highlight design principles you follow to enable scalability, such as modular architecture, efficient data processing strategies, and the use of cloud infrastructures. Provide examples from your past work.

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What tools do you use for monitoring data pipelines and ensuring reliability?

Elaborate on the specific tools you have used to track and monitor data pipeline performance. Discuss how these tools helped ensure high availability and quick identification of potential issues.

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Can you explain what a Data Lakehouse is?

In your answer, clarify the distinction between Data Lakes and Data Warehouses. Discuss the benefits of a Data Lakehouse, such as combining the best of both worlds for advanced analytics and real-time performance.

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How have you used SQL to optimize data queries?

Provide specific examples where you improved query performance through indexing, optimizing joins, or refining SELECT statements. Emphasize the impact of these changes on data retrieval speed and accuracy.

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How do you stay updated with the latest trends in ETL development?

Mention sources you rely on for continuous learning, such as industry blogs, webinars, online courses, or community forums. Highlight your commitment to professional development in emerging ETL technologies.

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What role does collaboration play in your work as an ETL Developer?

Speak about your experiences working in teams, emphasizing the importance of clear communication and alignment on goals. Discuss how collaborating with analytics and business units has enhanced project outcomes.

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Full-time, remote
DATE POSTED
April 5, 2025

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