Senior Data Engineer

Baltimore, MD, US • Posted 3 days ago • Updated 10 hours ago

Full Time

On-site

USD $165,000.00 - 175,000.00 per year

Fitment

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Job Details

Skills

Benefits Management
Data Architecture
Advanced Analytics
FOCUS
Modeling
Management
Databricks
Unity
Analytical Skill
Transact-SQL
Apache Spark
SQL
Python
Data Engineering
Data Quality
Orchestration
Artificial Intelligence
Machine Learning (ML)
Version Control
Git
Streaming
Apache Kafka
Amazon Kinesis
Terraform
Microsoft Power BI
Computer Science
Information Technology
Data Warehouse
ELT
Data Security
Regulatory Compliance
Access Control
Encryption
Storage
Collaboration
Mentorship
Documentation
Testing
Incident Management
Workflow
Leadership
Agile
Scrum
Technical Writing
DICE

Summary

JobID: 53340

Senior Data Engineer

Pay
$165,000 - $175,000 annually

Location
Baltimore area (Remote optional with a preference for East Coast candidates)

Summary
Seeking a Senior Data Engineer to join the technology and engineering team. This position involves designing, developing, and maintaining a scalable data warehouse infrastructure to support benefits administration software for unions. The role requires close collaboration with analysts and stakeholders to optimize data architecture, create secure data pipelines, and enable advanced analytics. The ideal candidate will have extensive experience in data engineering, data warehousing, and ELT processes, with a focus on building reliable and high-performance data systems. This is a remote opportunity within a financially stable, innovatively driven company with over 40 years of market presence.

Requirements

5+ years of experience in data engineering, modeling, governance, management, and ELT on large-scale platforms
3+ years of hands-on experience with Databricks, including Delta Live Tables and Unity Catalog
3+ years of experience with analytical SQL (ANSI SQL, T-SQL, Spark SQL)
Strong Python programming skills for data engineering
Practical knowledge of data quality, observability practices, and orchestration tools
Familiarity with integrating data solutions with AI and machine learning models
Experience with version control systems like Git preferred
Knowledge of streaming and ingestion tools such as Kafka, Kinesis, or Debezium is a plus
Hands-on experience with tools like dbt, Airflow, Terraform, Power BI, and others is advantageous
Bachelor's degree in Computer Science, Information Technology, or related field; Master's degree preferred

Responsibilities

Design, develop, and maintain a scalable data warehouse/lakehouse environment
Build and implement ELT pipelines for high-quality data ingestion and transformation, utilizing best practices like "pipelines as code"
Ensure data security, compliance, and governance, including role-based access controls and encryption
Optimize data workflows and storage for cost efficiency and performance
Collaborate with engineers, analysts, and stakeholders to refine data needs, providing technical mentorship and documentation
Develop testing frameworks, enforce data contracts, and establish observability standards including lineage tracking and incident response procedures
Monitor and troubleshoot data workflows, resolving automation and data issues
Provide technical guidance, leadership, and skill development within the team
Contribute within an Agile-Scrum environment and produce comprehensive technical documentation
Serve as a trusted expert on organizational data domains, processes, and best practices

#Dice #ZR-Pro #LI-TS1 #LI-Remote

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10123949
Position Id: J3Q1G062SFPT840ZWYL
Posted 3 days ago

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