Jobs
We are looking for a Software Engineering Senior Manager who brings strong technical leadership, a growth mindset, and a passion for building modern, reliable data and reporting platforms. In this role, you will partner closely with cross‑functional teams to modernize reporting capabilities, integrate AI‑enabled solutions, and elevate engineering practices that help teams move faster with confidence. You will lead with energy and optimism while balancing ambition with care for people and outcomes.
Responsibilities
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Lead the design, development, and evolution of data pipelines, transformations, and reporting applications that deliver accurate, timely insights
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Drive modernization of legacy data platforms toward cloud‑based and scalable solutions
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Integrate AI‑enabled capabilities to improve pipeline health, anomaly detection, and data quality
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Ensure operational excellence by improving reliability, reducing incidents, and guiding root‑cause analysis
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Champion Agile, DevOps, and iterative delivery practices that emphasize automation, observability, and continuous improvement
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Build and lead high‑performing engineering teams by coaching, developing, and empowering engineers and QA professionals
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Foster a culture of ownership, collaboration, and learning, including ongoing AI skill development
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Partner with product, reporting, analytics, and business stakeholders to translate needs into clear engineering outcomes
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Collaborate with governance, QA, and design partners to meet quality, client, and regulatory expectations
Qualifications
Required
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Minimum 10 years of experience in software or data engineering
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At least 5 years of experience leading and developing high‑performing engineering teams
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Strong expertise in SQL, ETL frameworks, data modeling, and cloud‑based data pipelines
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Hands‑on experience with platforms such as AWS, Snowflake, Databricks, Teradata, or enterprise BI tools
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Proven ability to improve system performance, reliability, and production support processes
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Experience working with cross‑functional partners across engineering, QA, architecture, and business teams
Preferred
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Experience in healthcare, PBM, or other regulated data environments
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Background applying AI or machine learning to data engineering, reporting, or operational automation
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Bachelor’s degree in computer science, engineering, or a related field
If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
For this position, we anticipate offering an annual salary of 143,200 - 238,600 USD / yearly, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here.
About The Cigna Group:
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: See Yourself@cigna.com for support. Do not email See Yourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.
The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
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About Cigna

Cigna
PublicThe Cigna Group is an American multinational for-profit managed healthcare and insurance company based in Bloomfield, Connecticut.
10,001+
Employees
Bloomfield
Headquarters
Reviews
3.0
9 reviews
Work Life Balance
3.8
Compensation
2.5
Culture
2.8
Career
2.2
Management
2.0
35%
Recommend to a Friend
Pros
Remote work flexibility and work from home options
Good work-life balance
Great people and teamwork
Cons
Poor management and micro-controlling leadership
Frequent layoffs and job instability
Limited career advancement opportunities
Salary Ranges
18 data points
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0 reports
$74,750
total / year
Base
$29,900
Stock
$37,375
Bonus
$7,475
$52,325
$97,175
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 50%
Neutral 0%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Team Member Interviews
5
Panel/Multiple Interviews
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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