Remote Data Science Jobs in Naperville, IL (NOW HIRING)

Overview

The Data Engineering Manager will be responsible for the design, development, implementation, and support of the Data Initiatives throughout Gallagher, ensuring that optimal data delivery architecture is consistent across ongoing projects. You will lead and mentor data engineers and data scientists, ensuring alignment with business goals and fostering collaboration across multiple teams, systems, and products. You will also oversee deliverables and provide ongoing support to ensure project success and operational excellence. Do you find the prospect of optimizing or even re-designing our company's integration and data architecture to support our next generation of products and data initiatives most exciting? We really should explore together. 

Please note additional position details below:

• This is a Temp-To-Hire, W-2 position.  We are not able to do 1099 or C2C.
• It is a fully remote role that will need to be based in the U.S. 
• You must meet our U.S. Eligibility requirements for work authorization as noted under "Additional Information" at the bottom of the job description.

How you'll make an impact

Leadership and Strategy:

• Lead requirements gathering, scope definition, and technical design of integration workflows, ensuring alignment with business objectives and providing strategic direction to the team.
• Experience managing and mentoring a team of Data Engineers (onsite and offshore).
• Proactively identify risks and uncertainties in data initiatives, and develop strategies to mitigate them while ensuring project success.

Team and Stakeholder Management:

• Provide leadership, direction, and coordination for development and support teams, including globally located resources, ensuring effective communication and collaboration.
• Act as a liaison between technical teams and business users, ensuring that data solutions meet business needs and addressing concerns or uncertainties effectively.
• Manage deliverables across multiple teams, ensuring timely completion and alignment with business priorities.

Technical Contributions:

• Seek out, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
• Build the infrastructure required for optimal ETL/ELT pipelines to ingest data from a wide variety of data sources using Microsoft Azure technologies such as Azure Data Factory and Databricks.
• Construct and maintain enterprise-level integrations using the Snowflake platform, Azure Synapse, Azure SQL, and SQL Server.
• Create data tools for data analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.

Problem Solving and Troubleshooting:

• Lead troubleshooting efforts, driving root-cause analysis, and coordinating with infrastructure teams to resolve incidents while maintaining transparency with stakeholders.
• Design analytics tools that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Provide ongoing support for data systems and integrations, ensuring reliability and performance while addressing issues promptly.

About you

Required:

• A relevant technical BS Degree in Information Technology.
• Proven experience in leading cross-functional teams, managing business users, and driving alignment between technical and business objectives.
• 3+ years of experience leading a technical team.
• 7+ years of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server.
• Experience with scripting tools such as Power Shell, Python, Scala, Java, and XML.
• Understanding the pros and cons, and best practices of implementing Data Lake, using Microsoft Azure Data Lake Storage.
• Experience structuring Data Lake for reliability, security, and performance.
• Experience implementing ETL for Data Warehouse and Business Intelligence solutions.
• Skills to read and write effective, modular, dynamic, parameterized, and robust code, establish and follow already established code standards, and ETL framework.
• Strong analytical, problem-solving, and troubleshooting abilities.
• Good understanding of unit testing, software change management, and software release management.
• Knowledge of DevOps processes (including CI/CD) and Infrastructure as Code fundamentals.
• Experience performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement.
• Experience working within an agile team.
• Exceptional communication and interpersonal skills, with the ability to influence and guide stakeholders at all levels.
• Demonstrated ability to manage relationships with business users, address their concerns, and ensure their needs are met through effective communication and collaboration.
• Experience in navigating ambiguity and uncertainty in projects, with a track record of delivering successful outcomes.
• Proven experience managing deliverables across multiple teams and providing ongoing support for data systems and integrations.

#LI-NJ1

#Contingent

#APintegration

We offer a competitive and comprehensive compensation package. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, complexity or scope, specialized skill set, lines of business/practice area, supply/demand, and scheduled hours. On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. 

Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:

• Medical/dental/vision plans, which start from day one!
• Life and accident insurance
• 401(K) and Roth options
• Tax-advantaged accounts (HSA, FSA)
• Educational expense reimbursement
• Paid parental leave

Other benefits include:

• Digital mental health services (Talkspace)
• Flexible work hours (availability varies by office and job function)
• Training programs
• Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing
• Charitable matching gift program
• And more...

**The benefits summary above applies to fulltime positions. If you are not applying for a fulltime position, details about benefits will be provided during the selection process.

We value inclusion and diversity

Click Here to review our U.S. Eligibility Requirements

Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.

Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.

Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.

Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

About you

Required:

• A relevant technical BS Degree in Information Technology.
• Proven experience in leading cross-functional teams, managing business users, and driving alignment between technical and business objectives.
• 3+ years of experience leading a technical team.
• 7+ years of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server.
• Experience with scripting tools such as Power Shell, Python, Scala, Java, and XML.
• Understanding the pros and cons, and best practices of implementing Data Lake, using Microsoft Azure Data Lake Storage.
• Experience structuring Data Lake for reliability, security, and performance.
• Experience implementing ETL for Data Warehouse and Business Intelligence solutions.
• Skills to read and write effective, modular, dynamic, parameterized, and robust code, establish and follow already established code standards, and ETL framework.
• Strong analytical, problem-solving, and troubleshooting abilities.
• Good understanding of unit testing, software change management, and software release management.
• Knowledge of DevOps processes (including CI/CD) and Infrastructure as Code fundamentals.
• Experience performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement.
• Experience working within an agile team.
• Exceptional communication and interpersonal skills, with the ability to influence and guide stakeholders at all levels.
• Demonstrated ability to manage relationships with business users, address their concerns, and ensure their needs are met through effective communication and collaboration.
• Experience in navigating ambiguity and uncertainty in projects, with a track record of delivering successful outcomes.
• Proven experience managing deliverables across multiple teams and providing ongoing support for data systems and integrations.

#LI-NJ1

#Contingent

#APintegration