Senior Data Engineer

Vericast; United States; Teletrabalho; USD 130 000 - 150 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical, dental & vision coverage

401K with match

Paid time off

Resumo da oferta

Vericast seeks a Senior Data Engineer to design scalable data pipelines and expand a Data Lakehouse to support marketing and financial institution clients. You will collaborate with analytics, reporting, and data science teams to ensure data quality and availability for AI applications.

The role emphasizes self-direction in an agile environment, working with cross-functional teams to deliver data-driven marketing solutions and improve data models for analytics and AI use cases.

Qualificações

• Bachelor's or Master's degree in Computer Science, IT, or related field.
• 5+ years of Data Engineering experience with ETL and data platforms.
• Experience in FI/Banking/MarTech/Marketing data environments preferred.

Responsabilidades

• Develop scalable data pipelines and build integrations for growing data volume and complexity.
• Build a robust Data Lakehouse to support marketing and FI clients, including campaign analysis.
• Collaborate with AI/Analytics teams to improve data models for AI/analytics tools.
• Monitor data quality and ensure availability and accuracy of production data.
• Provide post-deployment support and resolve production issues promptly.

Conhecimentos

Python

PySpark

Spark

Hadoop

Kafka

Hive

S3

Airflow

Iceberg

Trino

Kubernetes

GitLab

CI/CD

Cloud platforms (AWS/Azure/GCP)

Ranger

Formação académica

Bachelor's degree in Computer Science, Information Technology, or related field

Master's degree in Computer Science, Information Technology, or related field (preferred)

Ferramentas

Apache Airflow

Trino

Iceberg

Hive

Kubernetes

S3

GitLab

Ranger

Descrição da oferta de emprego

Vericast is seeking a motivated Senior Data Engineer to build big data pipelines, automate marketing campaigns, and support data requirements for our analytics, reporting, and AI applications. This role will expand our data infrastructure and pipeline architecture while optimizing data flow and collection into our Data Lake environment.

The Senior Data Engineer will work closely with our analytics, reporting, and data science teams on data initiatives, ensuring that a consistent, optimal data delivery architecture is available throughout ongoing projects. The ideal candidate is self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

This role is a great fit for someone who enjoys working in an agile team environment and contributing to high-quality, data-driven marketing products in close collaboration with developers and business partners.

Key Duties & Responsibilities

Develop scalable data pipelines and build new integrations to support continued growth in data volume and complexity.

Build a robust Data Lakehouse that supports Vericast's marketing solutions business and financial institution clients, including pre-sales, campaign execution, and campaign performance analysis and benchmarking.

Collaborate with AI, Analytics, and business teams to improve data models that feed AI and analytics tools, increasing data accessibility and fostering data-driven decision-making across the organization.

Implement processes and systems to monitor data quality and ensure the availability and accuracy of production data for key stakeholders and dependent business processes.

Perform data analysis to troubleshoot data-related issues and support their resolution.

Provide post-deployment support, responding quickly to resolve unexpected production issues.

Partner with business units and engineering teams to shape long-term data platform architecture strategy.

Education

Bachelor's degree in Computer Science, Information Technology, or a related field, with 5+ years of relevant experience; or

Master's degree in Computer Science, Information Technology, or a related field (preferred).

Experience

5+ years of experience in Data Engineering, ETL development, or Data Platform Engineering.

Experience working within a Financial Institution (FI), Banking, FinTech, MarTech, AdTech, Marketing Services, or Marketing Agency environment.

Experience supporting customer, campaign, audience, marketing performance, attribution, advertising, or transactional data at scale.

Strong experience with Python and PySpark for building production-grade data pipelines.

Experience designing, building, and supporting Data Lakehouse environments.

Experience working with Apache Airflow, Iceberg, Hive, S3, and Trino.

Experience with cloud platforms such as AWS, Azure, or GCP.

Experience with Agile software development methodologies.

Experience with GitLab and CI/CD processes.

Experience supporting AI and machine learning applications.

Understanding of machine learning models and the data requirements needed to support Data Science teams. Preferred

Experience building REST APIs. Preferred

Knowledge, Skills & Abilities

Strong programming skills in object-oriented/functional scripting languages such as Python and PySpark for building data pipelines, with experience in testing, logging, and ensuring data observability.

Experience with distributed systems and parallel data processing using big data tools such as Spark, PySpark, Hadoop, Kafka, and Hive.

Proficiency with relational databases.

Strong knowledge of Linux/Unix-based systems.

Strong experience with Iceberg, Hive, S3, and Trino.

Experience building data pipelines with orchestration tools such as Apache Airflow.

Hands-on experience with Apache Ranger and Rancher/Kubernetes.

Excellent analytical, conceptual, and problem-solving skills.

Strong communication skills that promote cross-team collaboration.

Experience supporting data requirements for AI applications. (Preferred)

Understanding of machine learning models and algorithms, with the ability to interface with the Data Science team. (Preferred)

Experience building REST APIs. (Preferred)

Salary range: $130,000 - $150,000

Applications will be accepted until the posted deadline October 20, 2026 or until a sufficient candidate pool has been identified

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 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 . EEO is the law. To review your rights under Equal Employment Opportunity please visit:

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.

Sounds like your next step?

Meet the team

Vericast is a marketing solutions company that connects brands with consumers through intelligent marketing strategies and services. The company provides go-to-market solutions, product positioning, and creative marketing services to help clients achieve their business objectives. Vericast operates with cross-functional teams including marketing strategy, creative services, sales, and content marketing to deliver comprehensive brand positioning and campaign execution. The company focuses on translating product capabilities into client-focused business outcomes and maintaining consistent brand presence across multiple channels.