analytic data engineer

data analyst, digital

manager data engineering

senior data analyst

sr data scientist

data engineer

CVS Health

<div>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Position Summary 
We're seeking a Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions.
You will be part of a dedicated team creating datasets for analytic and data science workloads. You will work with other Data Engineers and Sr. Data Engineers on designing, implementing, and testing data pipelines. Your key responsibilities are:<ul><li>
Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources.</li><li>
Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries.</li><li>
Data Quality &amp; Governance: follow data quality standards, data governance frameworks, and security policies for data storage and access.</li><li>
Data Modeling &amp; Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.</li><li>
Data Integration &amp; Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models</li><li>
Documentation &amp; Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes.</li></ul>
Required Qualifications<ul><li>
2+ years of applicable work experience</li><li>
Proficiency in Python, specifically with ETL pipelines</li><li>
Strong proficiency in SQL and experience in developing complex queries</li><li>
Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP)</li><li>
Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts.</li></ul> 
Preferred Qualifications<ul><li>
Experience working with healthcare data, especially Epic.</li><li>
Experience using GCP&rsquo;s BigQuery</li><li>
Knowledge of data governance best practices in a cloud environment.</li><li>
Experience working with Machine Learning processes.</li></ul> 
Education 
College degree or certification in related fields
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$64,890.00 - $173,040.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 01/23/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Analytic Data Engineer

The Hartford

<div>Sr Staff Data Engineer - GE07DE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
The Enterprise Data Services Department&rsquo;s Customer Data Ecosystem Operations Team is looking for a skilled Sr. Staff AI Data Engineer (Tech Lead) to join our team. This is an exciting opportunity to join us on our multi-year Cloud Modernization journey. The role focuses on integrating data from multiple systems, curating and transforming it into high-quality data products for actionable insights, using a mix of solutions spanning AI and Cloud tools and technologies. You uphold data integrity, accessibility, and compliance while creating curated Data Products to support diverse analytics needs&mdash;including descriptive, diagnostic, predictive, and prescriptive use cases for visualization and advanced data science.
Ideal candidates bring deep expertise in data engineering frameworks and tools (e.g., Spark, Snowflake), proficiency in programming languages (Python, SQL, PL/SQL), and experience with DevOps / DataOps pipelines, cloud platforms (AWS services), and agile methodologies (Scrum, Kanban). Familiarity with data warehousing, streaming technologies, and modern architecture such as Lakehouse and Data Mesh is highly desirable. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environments.
To succeed in this role, you should be a strong critical thinker, technical acumen and be able to derive the root causes of business problems.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, and optimize ETL/ELT pipelines for both structured and unstructured data.</li><li>
Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns.</li><li>
Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.</li><li>
Ingest and process large-scale datasets into the Enterprise Data Lake and downstream systems.</li><li>
Curate and publish Data Products to support analytics, visualization, and machine learning use cases.</li><li>
Collaborate with data analysts, data scientists, and BI teams to build data models and pipelines for research, reporting, and advanced analytics.</li><li>
Apply best practices for data modeling, governance, and security across all solutions.</li><li>
Partner with cross-functional teams to ensure alignment and delivery of high-value outcomes.</li><li>
Monitor and fine-tune data pipelines for performance, scalability, and reliability.</li><li>
Automate auditing, balance, reconciliation, and data quality checks to maintain high data integrity.</li><li>
Develop self-healing pipelines with robust re-startability mechanisms for resilience.</li><li>
Schedule and orchestrate complex, dependent workflows using tools like MWAA, Autosys, or Control-M.</li><li>
Leverage CI/CD pipelines to enable automated integration, testing, and deployment processes.</li><li>
Lead Proof of Concepts (POCs) and technology evaluations to drive innovation.</li><li>
Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.</li><li>
Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.</li><li>
Implement data observability practices to proactively monitor data health, lineage, and quality across pipelines, ensuring transparency and trust in data assets.</li></ul>
Required Skills &amp; Experience:<ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science or a related discipline.</li><li>
5+ years of experience in data analysis, transformation, and development, with ideally 2+ years in the insurance or a related industry.</li><li>
3+ years of experience developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake.</li><li>
Strong proficiency in SQL, Python, and ETL tools such as Informatica IDMC for data integration and transformation (3+ years).</li><li>
Experience designing and optimizing data models for Data Warehouses, Data Marts, and Data Fabric, including dimensional modeling, semantic layers, metadata management, and integration for scalable, governed, and high-performance analytics (3+ years).</li><li>
3+ years of hands-on experience in processing large-scale structured and unstructured data in both batch and near-real-time environments, leveraging distributed computing frameworks and streaming technologies for high-performance data pipelines.</li><li>
Strong technical knowledge (AI solution leveraging Cloud and modern solutions)</li><li>
3+ years of experience in Agile methodologies, including Scrum and Kanban frameworks.</li><li>
2+ years of experience in leveraging DevOps pipelines for automated testing and deployment, ensuring continuous integration and delivery of data solutions.</li><li>
Proficient in data visualization tools such as Tableau and Power BI, with expertise in creating interactive dashboards, reports, and visual analytics to support data-driven decision-making.</li><li>
Ability to analyze source systems, provide business solutions, and translate these solutions into actionable steps.</li></ul>
Nice to Have<ul><li>
Certifications in AWS Data &amp; Analytics Services, Snowflake, and Informatica IDMC.</li><li>
Experience in building and integrating AI agents into data workflows.</li><li>
Strong knowledge of data governance, including metadata management and lineage tracking, with hands-on experience collaborating with the Data Governance Office.</li></ul>
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$135,040 - $202,560
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It&rsquo;s Like to Work Here | Perks &amp; Benefits</div>

Senior Staff AI Data Engineer (Tech Lead)

GEICO

<div>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
About The Team 
Our Financial Data Integrity Team is at the heart of ensuring trust and accuracy in our organization&rsquo;s financial ecosystem. We design, implement, and manage the substantiation platform that safeguards the integrity of financial data across global systems, enabling compliance, informed decision-making, and operational excellence.
What you will do
As a Staff Software Data Engineer within our Financial Data Integrity Substantiation Platform, you will play an important role in building and managing our critical data reconciliation systems. Your technical expertise will contribute to ensuring the accuracy, reliability, and scalability of our financial data infrastructure.
Here's what you can expect to do:<ul><li>Contribute to the design and implementation of high-performance, scalable reconciliation systems capable of processing billions of transactions daily</li><li>Participate in making technical decisions that balance immediate business needs with long-term scalability and maintainability</li><li>Work with cross-functional teams to integrate our platform with various financial systems, ERPs, and data warehouses</li><li>Develop core components of our substantiation platform, writing high-quality, efficient code</li><li>Provide technical guidance to other engineers on the team</li><li>Follow and help improve best practices for code quality, testing, and deployment</li><li>Contribute to the professional development of junior engineers through code reviews and knowledge sharing</li><li>Collaborate with Finance, Compliance, and Business Intelligence teams to implement technical solutions for complex business requirements</li><li>Work with Product Management to implement features that deliver maximum impact</li><li>Explain technical concepts to both technical and non-technical stakeholders</li></ul>
Minimum Requirements:<ul><li>Bachelor&rsquo;s degree in data science, computer science, economics or related field; advanced degree preferred</li><li>9+ years of experience in Software Engineering</li><li>Experience in one or more relevant programming languages, such as C#, Java and/or Go</li><li>Experience with tools like Git, Docker, Kubernetes, and CI/CD pipelines</li><li>Experience with cloud platforms like AWS, Azure, or Google Cloud</li><li>Competence in SQL, NoSQL, relational database design and efficient methods for data retrieval and preparation at scale</li><li>Proven ability to collect and process raw data at scale, including scripting, API integration, and SQL querying</li><li>Experience in writing and optimizing SQL queries, ensure data security, and integrate Snowflake with third-party tools</li><li>Experience with data modeling, ETL processes and query languages (Python, PySpark, and SQL)</li><li>Demonstrated success working with cross-functional teams to integrate new platform with various financial systems, ERPs, and data warehouses</li><li>Good communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders</li><li>Experience with Agile development methodologies and CI/CD practices</li></ul>
#LI-MK1 
Annual Salary
$110,000.00 - $230,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Staff Data Engineer - Substantiation Platform *Hybrid*

<div>Sr Staff Data Engineer - GE07DE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
Enterprise Data Services - Sales &amp; Distribution IT is undergoing a transformation to the Cloud, and we are looking for an enthusiastic Sr. Staff Data Engineer to join our team. In this role, you will be leading the efforts to develop, enhance, and support new and existing ETL data pipelines, ingestions, and storage across various medium and large sized projects concurrently. This is an individual contributor position responsible for expanding and optimizing data pipeline and product architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
You will work on implementing complex data projects, focusing on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms. You will support our software developers, data architects, analysts and data scientists on vital initiatives and ensure optimal data delivery architecture. You will lead the design of vital components and suggest/implement new frameworks and tools based on industry and technological trends and advances. You will also consult with process owners in reviewing, interpreting &amp; developing systems in accordance with user requirements and ensuring code quality through proper documentation, best practices, and code reviews. Working in our collaborative environment, you will further develop your skills while also acting as a mentor and technical guide to other data engineers.
This role can have a Hybrid work schedule. Candidates who live near one of our office locations (Charlotte NC, Hartford CT, Chicago, IL, Columbus, OH) will have the expectation of working in an office 3 days a week (Tuesday through Thursday)
Responsibilities:<ul><li>
Modernize legacy data assets by migrating and re-engineering them into modern cloud solutions (AWS, GCP, Snowflake) for scalability, security, and cost efficiency.</li><li>
Design, develop, and optimize ETL/ELT pipelines for structured and unstructured data, ensuring resilience and high performance.</li><li>
Build and manage data pipelines leveraging cloud services such as AWS Glue, EMR, Redshift; GCP BigQuery, Dataflow; and Snowflake.</li><li>
Curate and publish Data Products to support analytics, visualization, machine learning, and Generative AI use cases.</li><li>
Implement DataOps practices for automated deployments, CI/CD integration, and continuous delivery of data solutions.</li><li>
Apply best practices for data modeling, governance, and security, ensuring compliance with enterprise standards and regulatory requirements.</li><li>
Establish and enforce Data Governance frameworks, including:<ul><li>
Data Quality Management</li><li>
Metadata Management</li><li>
Data Lineage Tracking</li></ul></li><li>
Integrate AI/ML models into data pipelines, enabling real-time scoring, feature engineering, and model retraining workflows.</li><li>
Enable Generative AI capabilities by embedding LLMs into data workflows for intelligent automation and advanced insights.</li><li>
Develop and deploy AI Agents for automated decision-making and conversational analytics.</li><li>
Lead Proof of Concepts (POCs) and pilot initiatives for emerging technologies&mdash;beyond GenAI&mdash;such as real-time streaming, AI agents, and next-gen data platforms.</li><li>
Develop and maintain BI dashboards and visualization solutions using tools like Power BI or Tableau to deliver actionable insights.</li><li>
Monitor and fine-tune data pipelines for performance, scalability, and reliability using advanced observability tools.</li><li>
Automate auditing, reconciliation, and data quality checks to maintain high data integrity.</li><li>
Develop self-healing pipelines with robust re-startability mechanisms for resilience.</li><li>
Schedule and orchestrate complex workflows using tools like MWAA, Autosys, or Control-M.</li><li>
Champion continuous improvement and innovation by adopting emerging technologies in DataOps, AI/ML, and cloud engineering.</li></ul>
Qualifications:<ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science or a related discipline.</li><li>
7+ years of experience in data analysis, transformation, and development, with ideally 2+ years in the insurance or a related industry.</li><li>
5+ years of strong proficiency in SQL, Python, and ETL tools such as Informatica IDMC for data integration and transformation.</li><li>
3+ years of experience developing and deploying large-scale data and analytics applications on cloud platforms such as AWS, GCP and Snowflake.</li><li>
Experience in small or medium-scale Generative AI (GenAI) integration within data workflows or enterprise solutions.</li><li>
3+ years of expertise in designing and optimizing data models for Data Warehouses, Data Marts, and Data Fabric, including dimensional modeling, semantic layers, metadata management, and integration for scalable, governed, and high-performance analytics.</li><li>
3+ years of experience processing large-scale structured and unstructured data in both batch and near-real-time environments, leveraging distributed computing frameworks and streaming technologies for high-performance data pipelines.</li><li>
3+ years of experience in Agile methodologies, including Scrum and Kanban frameworks.</li><li>
2+ years of experience in leveraging DevOps pipelines for automated testing and deployment, ensuring continuous integration and delivery of data solutions.</li><li>
Experience accessing and retrieving data from disparate large data sources.</li><li>
Proficient in data visualization tools such as Tableau and Power BI, with expertise in creating interactive dashboards, reports, and visual analytics to support data-driven decision-making.</li><li>
Ability to analyze source systems, provide business solutions, and translate these solutions into actionable steps.</li></ul>
Preferred skills:<ul><li>
Knowledge of data observability (metrics, tracing, logs) and monitoring frameworks.</li><li>
Exposure to metadata management (catalogs, glossary) and data lineage tools.</li><li>
Familiarity with containerization &amp; orchestration (Docker, Kubernetes).</li></ul>
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$135,040 - $202,560
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It&rsquo;s Like to Work Here | Perks &amp; Benefits</div>

Sr. Staff Data Engineer (Tech Lead) - Hybrid

<div>Manager Data Engineering - GE07AE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
<div><div>The Hartford is seeking a Data Engineering Manager to lead a team of Data Engineers to design, develop, and implement modern and sustainable data assets to fuel machine learning and statistical modeling solutions across a wide range of strategic initiatives.</div><div> 
The Actuarial Strategic Modeling team is a dynamic mix of Actuarial and Data Science professionals utilizing statistical modeling, machine learning, and advanced data engineering techniques to enhance core Actuarial processes. As a member of the ASM team, you will directly impact written premium by ensuring the modeling team can find new insights and deliver them to market rapidly. We are a forward-focused organization that fosters collaboration, encourages creative design, and offers abundant opportunities for visibility, allowing candidates to shape innovative solutions and showcase their talents to a wide audience.</div><div> 
As a Data Engineering Manager, you will lead and mentor a small team through the software development lifecycle process, supporting strong programming foundations and cloud operations, and fostering a robust understanding of the analytics behind our work. Collaborating closely with a broader team of talented engineers and data scientists, you will oversee engineering and model support projects across several lines of business, serving as the primary contact for engineering and data solutions. Our team's culture is deeply rooted in embracing emerging technologies and empowering you to select the optimal tools for each unique project, so curiosity and adaptability are highly valued. Strong candidates will also demonstrate a solid foundation in data management, software engineering, and process automation along with an enthusiasm for delivering efficient solutions to partners.</div><div> 
Responsibilities:</div><div><ul><li>
Lead and mentor Data Engineers to deliver and maintain reusable and sustainable analytical processes that assist Actuarial Modelers in meeting their strategic objectives</li></ul></div><div><ul><li>
Learn and coach Machine Learning and MLOps, Engineering, and Insurance Business concepts &amp; terminology, applying that knowledge for the best fit-to-purpose solution.</li></ul></div><div><ul><li>
Anticipate team and individual growth needs, identify relevant opportunities and coach direct reports and peers accordingly</li></ul></div><div><ul><li>
Regularly engage in continuing education, including the development of project and people management skills</li></ul></div><div><ul><li>
Consult with cross-functional stakeholders in the analysis of short and long-range business requirements and recommend modernization that anticipates future business needs</li></ul></div><div><ul><li>
Own and lead engineering projects, leveraging agile software development practices to manage work and communicate status</li></ul></div><div><ul><li>
Assess business needs and lead the development of reliable and effective solutions, that are catered to specific business needs and easily maintainable</li></ul></div><div><ul><li>
Create data assets and build data pipelines that align to modern software development principles for further analytical consumption. Perform data analysis to ensure quality of data assets</li></ul></div><div><ul><li>
Design and develop high quality, scalable software modules for next generation analytics solution suite that serves advanced statistical models and tracks key metrics</li></ul></div><div><ul><li>
Enhance and maintain model and data monitoring solutions that deliver automated insights to technical and non-technical audiences</li></ul></div><div><ul><li>
Identify and validate internal and external data sources for availability and quality. Work with SMEs to describe and understand data lineage and suitability for a use case</li></ul></div><div><ul><li>
Proactively accesses technical issues and risks that could impact speed, functionality, flexibility, or clarity.</li></ul></div><div><ul><li>
Use Enterprise GitHub for version control, documentation, code collaboration, and technical project management</li></ul></div></div><div><div>
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).</div><div> 
Minimum Qualifications:</div><div><ul><li>
4+ years of programming experience in a business setting</li></ul></div><div><ul><li>
Experience in managing Data Engineers OR leading Engineering project teams within an Analytics context and in an agile environment</li></ul></div><div><ul><li>
Interest in deeply learning &amp; understanding the Insurance Business and Actuarial role</li></ul></div><div><ul><li>
Proficiency in SQL and at least one additional functional or object-oriented programming language such as R or Python</li></ul></div><div><ul><li>
Experience with data or process management solutions in the cloud, including data pipelines, automation, and containerized compute</li></ul></div><div><ul><li>
Proficiency in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON</li></ul></div><div><ul><li>
Proficiency in ETL concerning metadata management and data validation</li></ul></div><div><ul><li>
Proficiency with Git in a collaborative business setting</li></ul></div><div><ul><li>
Proficiency in Linux-based file management</li></ul></div><div><ul><li>
Ability to communicate effectively with both technical and non-technical teams</li></ul></div><div><ul><li>
Demonstrated ability to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution</li></ul></div><div><ul><li>
Curious and passionate for R&amp;D and innovation</li></ul></div><div> 
Preferred Skills and Experience:</div><div><ul><li>
Bachelor&rsquo;s or Master's degree in related discipline or 5+ years of equivalent experience in relevant engineering roles</li></ul></div></div><div><div><ul><li>
AWS Certification or experience with AWS Services (S3, EMR, etc.) is strongly preferred</li></ul></div><div><ul><li>
Experience with Insurance data, especially with Actuarial data processes, is preferred</li></ul></div><div><ul><li>
Experience with R AND Python is preferred</li></ul></div><div><ul><li>
Exposure to Machine Learning, Statistical Modeling, or MLOps in a business context is preferred</li></ul></div><div><ul><li>
Proficiency in Automation tools (Airflow, Cron, Autosys, etc.) is a plus</li></ul></div><div><ul><li>
Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) is a plus</li></ul></div><div><ul><li>
Experience building CICD pipelines or IAC (Infrastructure as Code) desired</li></ul><div> 
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</div></div></div>
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$127,200 - $190,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It&rsquo;s Like to Work Here | Perks &amp; Benefits</div>

Manager Data Engineering

WEC Energy Group

<div>PGL, a subsidiary of WEC Energy Group, is seeking a Engineer- Field Operations in our Chicago, Illinois North Shop (Zip Code: 60646), Central Shop (Zip Code: 60632) and South Shop (Zip Code: 60621) locations. 
About Us 
WEC Energy Group is one of the nation&rsquo;s largest electric generation and distribution and natural gas delivery holding companies serving 4.7 million customers across the Midwest. We are committed to providing clean, reliable, and affordable energy in an environmentally sustainable manner. Customers are the heart of our business, and we work every day to help grow and support communities where we provide vital energy services. 
As a Fortune 500 company, we value and develop our employees who are making a difference in a mission that matters. We don&rsquo;t just offer a job; we provide fulfilling careers where safety and well-being are paramount. Join our team and experience first-hand our commitment to your success. We offer competitive pay and benefits to recognize your hard work and dedication. 
If you&rsquo;re talented, energetic and ready for a career with a future, we want you on our team. We are powered by a diverse and inclusive workforce fueled by the pride in what we do. If you're driven by the passion to change lives, this is the place for you.<div><div><div><h2 class="jobSectionHeader">
Job Summary</h2></div><div> 
District Operations is responsible for field related aspects of the distribution of natural gas to PGL customers. This includes Operations, Maintenance, and Construction activities. 
As a Engineer, you will learn to: 
<ul><li>
Work with a variety of analytical software to provide solutions to improve efficiency of natural gas transmission and distribution systems</li><li>
Monitor progress against compliance due date and year-end targets</li><li>
Understand the operation of gas facilities to properly supply natural gas to customers</li><li>
Develop knowledge of the installation process of new facilities and the retirement of existing ones as a part of new pipeline construction program</li><li>
Ensure we are delivering a quality service to our customers</li><li>
Work with various stakeholders and provide input on technical engineering aspects of projects</li></ul> 
This position is part of the Engineering job family (Associate Engineer, Engineer, and Senior Engineer). Experience will be the determining factor. 
These positions are part of our engineering rotation program. This provides our Engineers opportunity to learn a variety of engineering functions.</div></div><div><div><h2 class="jobSectionHeader">
Minimum Qualifications</h2></div><div> 
<ul><li>
Bachelor's Degree in Engineering</li><li>
The Associate Engineer requires: 0-2 years relevant engineering experience (internship/co-op experience may be included as relevant engineering)</li><li>
The Engineer requires: 2-5 years relevant engineering experience (internship/co-op experience may be included as relevant engineering)</li><li>
The Sr Engineer requires: 5+ years relevant engineering experience (internship/co-op experience may be included as relevant engineering)</li><li>
Must meet company standards for driving and maintain a valid driver's license</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Preferred Qualifications</h2></div><div> 
<ul><li>
Excellent communication skills, both oral and written</li><li>
Strong analytical capabilities</li><li>
Project/process management experience</li></ul></div></div></div>
End Date: 01/26/2026 
Pay Range Minimum: $66,898.00
Pay Range Maximum: $143,768.04 
The pay range reflects the minimum and maximum for the position at the time of posting and may be modified in the future. The starting salary/pay within the pay range will be based on several factors, as applicable, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, shift, travel requirements, collective bargaining agreements, and business and organizational needs. At WEC Energy Group, it is not typical for an individual to be hired at or near the top of the range for their role. 
WEC Energy Group benefits
We reserve the right to modify the application deadline or discontinue accepting applications for any position if deemed necessary. 
 
Learn more at Careers 
WEC Energy Group will only employ those who are legally authorized to work in the United States. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire. 
WEC Energy Group and its subsidiaries are Equal Opportunity Employers. As a result, all qualified applicants will receive equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other protected status. The Company also complies with all applicable federal, state and local laws that require it to take affirmative action. 
EEO/AA policies and statements</div>

Engineer- Field Operations

d'Escoto, Inc.

The Resident Engineer shall maintain and facilitate all functions and activities at all facets of a construction project from commencement to completion, and ensure all construction is in compliance with design specifications, completed on schedule, and is built to quality standards within the project budget. In understanding the critical nature of work within the Chicago Airport System, compliance to all FAA 139 regulations related to construction and safety shall be enforced by the Resident Engineer and the project team.POSITION FUNCTIONS, DUTIES, AND RESPONSIBILITIES&middot; Supervises field staff and contractors on the site with responsibility for quality construction in accordance to the project plans and specifications&middot; Responsible for the issuance of field orders, and approval of invoices, and payment applications which may include final payment&middot; Prepare for pre-award and pre-construction meetings&middot; Review and maintain the project schedule in collaboration with the Contractor and the CARE plus project team&middot; Responsible for ensuring all required contract documentation and information is properly processed and understood by the Project Field Inspectors&middot; Review and monitor staff time allowance and all approved overtime&middot; Field staff coordination, ensure all required project documentation and information is forwarded to and understood by the project field inspectors&middot; Work closely with the Chicago Department of Aviation (CDA) representatives on day-to-day coordination of contractors&rsquo; work activities&middot; Ensure all subcontractor information inclusive of insurance requirements, at any tier, have been submitted and approved&middot; Track various pay items and oversee entries into the quantity book&middot; Monitor quality and safety programs for contractor and construction management teams along with the QAQC and Safety Managerso Prepare a project specific Quality Plano Establish and maintain the overall inspection coverage to oversee all work activity&middot; Preparation of Field Orders when required with the necessary backup documents, review and approval of payment requests&middot; Actively participates in progress meetings, roundtable and all project management meetings<ul><li>Other duties as assigned</li></ul>EDUCATION AND SKILLS<ul><li>Bachelor of Science Degree in Civil Engineering or Construction Management Equivalent</li><li>Engineer-in-Training (EIT) Certifications or Professional Engineer Certification</li><li>5+ years of inspection experience working on construction projects as either a field engineer or office engineer</li><li>Strong verbal and written communication skills</li><li>Ability to read and interpret contract documents and construction plans and specifications</li><li>Ability to work independently with minimal supervision</li><li>Strong time management skills and excellent attention to detail</li><li>Ability to effectively manage project team members. Must be very organized and have effective problem solving, leadership and negotiation skills.</li><li>Ability to work on multiple projects/deadlines</li><li>Ability to work in a fast-paced collaborative environment</li><li>Team oriented working style and hands on approach to problem solving</li><li>Fluent with computer software including Microsoft Office</li></ul>COMPENSATION &amp; BENEFITS&middot; Competitive base pay ($124,800 - $160,000 annually)The exact starting compensation to be offered will be determined at the time of selecting an applicant for hire, in which a wide range of factors will be considered, including but not limited to, skillset, years of applicable experience, education, credentials and licensure, as applicable.&middot; Medical, dental, and vision coverage plan options&middot; Company paid life insurance and short-term/long-term disability&middot; 401k plan with and employer safe harbor match&middot; Paid time off&middot; Paid company holidays&middot; Professional development assistance, licensure, and professional membership reimbursement&middot; Pre-tax commuter benefit&middot; Voluntary life and accident insurance&middot; Voluntary Critical Illness, Accident and Hospital Indemnity insurance&middot; Pet Insurance&middot; Identity Theft ProtectionJob Type: Full-timePay: $124,000.00 - $160,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Retirement plan</li><li>Vision insurance</li></ul>Work Location: In person

Resident Engineer - Aviation

Explore 137+ Data engineer in Chicago this January. Find roles across top companies and apply now to boost your career.