Senior Data Engineer

Key Skills

Analytical and Problem solving, Big Data Technology, Effective communication skills, ETL frameworks, Leadership Skill, Python Programming, R Programming, SQL

Job Description

Benefits

Paid time off (PTO)

Various health insurance options & wellness plans

Retirement benefits including employer match plans

Long-term & short-term disability

Employee assistance programs (EAP)

Parental leave & adoption assistance

Tuition reimbursement

Ways to give back to your community

As a military friendly organization, Ascension promotes career flexibility and offers many benefits to help support the well-being of our military families, spouses, veterans and reservists. Our associates are empowered to apply their military experience and unique perspective to their civilian career with Ascension.

*Please note, benefits and benefits eligibility can vary by position, exclusions may apply for some roles (for example: PRN, Short-Term Option, etc.). Connect with your Talent Advisor today for additional specifics.

Responsibilities

• Monitor complex databases of information and identify valuable insights that are useful for making business decisions. 
• Your duties include performing data monitoring, verifying the integrity of the database, and implementing error detection to find any potential issues.
• Develop, build, and implement new data collection systems where needed. 
• Provide leadership, orientation,training and guidance on new systems that are being implemented.
• designing, building, and maintaining the infrastructure that supports data storage, processing, and retrieval.
• Serve as key resource/SME in collection and analysis of data from multiple sources for the development of reports and statistical information
• Identify data trends and make recommendations for quality improvement.
• Engage with stakeholders as needed to understand requirements and business needs

Requirements

Education:

• High school diploma/GED with 2 years of experience, or Associate's degree, or Bachelor's degree required.

Work Experience:

• 3 years of experience preferred.

Additional Preferences

• Knowledge of data warehousing and ETL processes
• programming languages

SQL (required)

Python (preferred)

R (preferred)

• Familiarity with Google big data query is required problem-solving, the ability to work in a team, and communication with technical and non-technical people leadership skills are recommended