Sr. Data Engineer (Remote)

$90,300 - $164,700/Yr

Lincoln Financial Group - Springfield, IL

Full-time - Mid Level

Remote - Springfield, IL

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Sr. Data Engineer/Sr. Analyst role at Lincoln Financial Group focuses on providing expertise in application development within the Customer360 Master Data Management and Search Services teams. The position involves leading complex projects, maintaining a cloud-based enterprise data platform, and ensuring optimal configuration and performance of technology components. The ideal candidate will have a strong background in data processing and cloud environments, particularly AWS, and will be responsible for enhancing data processing efficiencies.

Responsibilities

• Support the development and maintenance of ETL data pipelines in an AWS environment.
• Gain expert-level understanding of the MDM and Search technology portfolio.
• Provide first-level support for production issues and complete root cause analysis (RCA).
• Maintain best practices for optimized software development and continuous improvement.
• Analyze, design, debug, integrate, and test complex software application solutions.
• Serve as a technical expert and provide guidance to junior team members.
• Direct development teams in project scheduling and application development standards.
• Contribute to project plans, test plans, and implementation plans, including resource and budget estimates.
• Stay updated on current and emerging trends in technology and assess their impact on solutions.
• Investigate and resolve production system problems in a timely manner.
• Collaborate with internal stakeholders to ensure systems are designed and implemented effectively.

Requirements

• 5-7+ years of experience with Amazon Web Services (EMR, EC2, Elastic Beanstalk, Lambda, Cloudwatch, SNS, SQS, IAM, S3, RDS).
• Proficiency in Unix shell scripting.
• Experience with Hadoop HDFS.
• Knowledge of Rest API development.
• Proficiency in Java.

Nice-to-haves

• Experience with Apache Big Data tools (Spark, Hive, Sqoop, Pig).
• Proficiency in Python.
• Knowledge of Presto SQL.
• Experience with Informatica.
• Familiarity with AutoSys.

Benefits

• Clearly defined career tracks and job levels.
• Leadership development and virtual training opportunities.
• PTO/parental leave.
• Competitive 401K and employee benefits.
• Free financial counseling, health coaching, and employee assistance program.
• Tuition assistance program.
• Remote work environment and flexible work hybrid situations.
• Effective productivity/technology tools and training.