Job Url: https://www.remoterocketship.com/company/infoverity/jobs/data-engineer-united-states-remote

Job Description: 
Infoverity
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Infoverity is a data management consulting company that helps organizations transform, simplify, and secure their enterprise data to maximize its value and drive business outcomes. With a focus on automating and scaling data management processes, Infoverity empowers companies to monetize insights from their data through effective data strategy, integration, and quality management. 

Their expertise spans multiple industries, including healthcare, financial services, and retail, providing tailored solutions that facilitate digital transformation and enhance decision-making capabilities. 

Enterprise Information Management • Data Strategy • Data Governance • Delivery Management • Data Stewardship


201 - 500 employees


Founded 2011

💳 Fintech

Data Engineer
6 days ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

Airflow

Apache

AWS

Azure

Cloud

ETL

Google Cloud Platform

Node.js

PySpark

Python

Spark

SQL

Tableau

Terraform

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📋 Description
•This is a remote position.
•Infoverity is seeking an experienced Data Engineer to join our dynamic consulting team, helping clients architect, build, and optimize modern data platforms.
•In this role, you will design and implement scalable data solutions, leveraging cloud technologies, specifically Databricks, to drive innovation in AI/ML, data warehousing, and data integration.
•As a key player at Infoverity you will collaborate with cross-functional teams, including data scientists, business analysts, and solution architects, to deliver high-impact data solutions tailored to our clients’ needs.

🎯 Requirements
•Minimum of 2 to 3 years of experience in data engineering, data architecture, and data integration.
•Strong expertise in Databricks, Snowflake, and/or Microsoft Fabric.
•Proficiency in SQL, Python, Spark, and distributed data processing frameworks.
•Experience with cloud platforms (Azure, AWS, or GCP) and their native data services.
•Hands-on experience with ETL/ELT development, data pipelines, and data warehousing.
•Knowledge of AI/ML workflows, including feature engineering and ML model deployment.
•Strong understanding of data governance, security, and compliance best practices.
•Excellent problem-solving, communication, and client-facing consulting skills.
•Ability to work independently and as part of a team.

Apply Now
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