Data Engineer

Everforth Apex
Clayton, MO, United States
6 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Query Performance Agile Methodology Airflow Cloud Database Databases Directed Acyclic Graph (Directed Graphs) Data Architecture Information Engineering Data Integration Extract Transform Load (ETL) Data Transformation Data Warehousing
+11 more
Software Debugging Distributed Data Store Python (Programming Language) SQL Databases Freeform SQL Delivery Pipeline Containerization Kubernetes Data Delivery Data Pipelines Docker

Job description

We are seeking a Data Engineer for a role in the financial services industry. The position involves authoring, debugging, and optimizing complex data scripts using Python and advanced SQL. The candidate will work with Apache Airflow to design, schedule, and monitor data pipelines and will be responsible for improving existing data pipelines by resolving failures and optimizing resource utilization., * Author, debug, and optimize complex data scripts using Python and advanced SQL queries.

  • Utilize Apache Airflow for designing, scheduling, and monitoring complex data pipelines and DAGs.
  • Manage SQL-based database systems, including schema design, query performance tuning, and data warehousing.
  • Implement ETL/ELT data integration techniques, data transformation, and manage distributed storage systems.
  • Install, configure, and maintain data pipeline utilities, custom Airflow providers, and database connectors.
  • Create and maintain technical documentation for data architecture, DAG workflows, and operational procedures.
  • Improve existing data pipelines by resolving recurring failures, eliminating bottlenecks, and optimizing resource utilization.
  • Identify opportunities to innovate, automate, and scale data delivery across the organization.
  • Perform Root Cause Analysis and Incident Management for data quality issues, DAG failures, and database outages.

Requirements

Experience: 4-7 years of data engineering experience is required.

Technical Skills:

  • Experience with cloud-based data platform infrastructure and containerization technologies such as Docker or Kubernetes.
  • Understanding of modern data stack technologies and ability to assist with cloud-based data lake or warehouse integration efforts.
  • Proficiency in Agile development methodologies and CI/CD deployment pipelines for code and workflows.
  • Ability to thrive in a sense-of-urgency environment and leverage data engineering best practices.

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:19 min

The true role and evolution of data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

Videos

See all

Related articles

See all