Mid-Level Databricks/Informatica Data Engineer

Eliassen Group
Denver, CO, United States
1 day ago
Apply on www.denverjobsite.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$135,200.0 - $166,400.0
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Big Data Cloud Computing Cloud Engineering Code Review Information Systems Continuous Integration Information Engineering
+28 more
Data Integration Extract Transform Load (ETL) Data Warehousing Dimensional Modeling Github Apache Hive Performance Tuning Scrum Methodology Cloud Services Enterprise Data Management Google Cloud Cloud Platform System Data Ingestion Informatica Powercenter Snowflake Apache Spark Informatica Cloud Git Microsoft Fabric Data Lakes Pyspark Information Technology Data Management Data Lakehouse Cloud Migration Azure Synapse Analytics Data Pipelines Databricks

Job description

Our client seeks a Mid-Level Databricks/Informatica Data Engineer to support enterprise data modernization, cloud migration, analytics, and integration initiatives. The role involves building scalable data pipelines in Databricks, developing ETL/ELT solutions with Informatica, and supporting cloud-based data platforms that enable business intelligence, reporting, and advanced analytics., * Design, develop, and maintain enterprise ETL/ELT pipelines using Informatica PowerCenter and/or Informatica Intelligent Cloud Services (IICS).

  • Build and optimize Databricks notebooks, workflows, and data pipelines for large-scale data processing.
  • Develop and support data ingestion frameworks from structured and unstructured data sources.
  • Implement data transformations, cleansing, enrichment, and validation processes.
  • Create scalable solutions using PySpark, Spark SQL, and Delta Lake.
  • Collaborate with business stakeholders, data architects, analysts, and application teams to define data requirements.
  • Troubleshoot and resolve data integration, performance, and data quality issues.
  • Support migration from legacy data warehouses and ETL platforms to modern cloud-based architectures.
  • Develop and maintain technical documentation, data mappings, and operational runbooks.
  • Participate in Agile development activities including sprint planning, code reviews, and deployments.

Requirements

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * 5+ years of experience in data engineering, ETL development, or data warehousing.

  • 3+ years of experience with Databricks, Apache Spark, or cloud-based analytics platforms.
  • 3+ years of experience with Informatica PowerCenter, Informatica IICS, or Informatica Cloud.
  • Strong SQL development and performance tuning experience.
  • Experience designing and implementing enterprise-scale data integration solutions.
  • Understanding of dimensional modeling, data warehousing, and master data management concepts.
  • Strong analytical, troubleshooting, and communication skills.
  • Preferred: Snowflake, Microsoft Fabric, Azure Synapse, or Redshift.
  • Preferred: Experience in AWS, Azure, or Google Cloud environments.
  • Preferred: Knowledge of Delta Lake, Medallion Architecture, and Data Lakehouse concepts.
  • Preferred: Informatica and/or Databricks certifications.
  • Preferred: CI/CD pipelines, Git, Azure DevOps, or GitHub.
  • Preferred: Experience supporting Federal Government, DoD, DHS, or other regulated environments. Active Public Trust or Security Clearance preferred.
  • Desired: 5-8 years of overall IT experience and experience designing end-to-end enterprise data platforms.
  • Desired: Experience supporting reporting, analytics, AI/ML, and business intelligence workloads.

Education Requirements:

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.

Benefits & conditions

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

About the company

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Apply for this position

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

Apply on www.denverjobsite.com
Prepare application

Good distractions

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

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · World Congress 2023

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all