TASKS: Design data and reporting solutions Build and operationalize highly trusted and utilized data solutions Design and develop SQL code, with opportunities to develop scripts and data pipelines that leverage structured and unstructured data integr Data Engineer, Developer, Engineer, Healthcare, Technology, Data, Skills

Introduction At Emergent Holdings, we’re creating an innovative environment where our employees belong authentically, contribute meaningfully, and thrive intentionally — both personally and professionally. Overview The Data Engineer/Business Intelligence Developer supports the Business intelligence team developing easy to use and understand Tableau reporting. As a member of the Business Intelligence team the developer’s strong analytical skills and intellectual curiosity to understand business context, strategy and outcomes will aid in engineering highly trusted data & analytics solutions. Daily activities will include design, build, and deploy business intelligence solutions.

Actual compensation decision relies on the consideration of internal equity, candidate’s skills and professional experience, geographic location, market and other potential factors. It is not standard practice for an offer to be at or near the top of the range, and therefore a reasonable estimate for this role is between $70,400 and $117,800. Responsibilities Design data and reporting solutions.
Build and operationalize highly trusted and utilized data solutions.
Design and develop SQL code, with opportunities to develop scripts and data pipelines that leverage structured and unstructured data integrated from multiple sources.
Develop product deliverable documentation.
Collaborate with agile team members to meet deadlines.
Elicit business requirements, perform gaps analysis, and develop report design.
Build top-end interactive Tableau dashboard reports.
Communicate project status and results.
Recommend and develop reporting best practices, policies, and procedures.
Analyze data and architecture for issues, concerns, and improvement.
Own the process and the results.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
Requirements EDUCATION AND EXPERIENCE:
Relevant combination of education and experience may be considered in lieu of degree.

Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or related field; OR equivalent training with data technology, processes or solutions.
Certification or progress toward certification is highly preferred and encouraged.
Two (2)+ years' experience Designing, Creating and Developing Tableau Dashboards.
Two (2)+ years of data engineering or equivalent experience.
Working with data in aHealth Care / Insuranceenvironment is preferred.

QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

SKILLS/KNOWLEDGE/ABILITIES (SKA) REQUIRED:
Advanced knowledge of BI / Dashboards tools such as Tableau.
Deep knowledge of healthcare data preferably from healthcare payer perspective.
Excellent written and verbal communication skills.
Ability to work independently.
Strong working knowledge of Big Data platforms such as Hadoop and Databricks preferred.
Strong working knowledge of Cloud Data Platforms.
Strong working knowledge of relational database systems (Oracle or SQL).
Intermediate working knowledge of ETL tools and processes.
Intermediate relationship building.
Intermediate Execution Excellence.
Intermediate problem-solving skills.
Basic familiarity of DevOps fundamentals (build, release, test, monitor).
Basic familiarity with advanced statistical concepts.
Willingness to work with unclear and poorly defined data, making it into a viable product.

The qualifications listed above are intended to represent the minimum education, experience, skills, knowledge and ability levels associated with performing the duties and responsibilities contained in this job description.
We are an Equal Opportunity Employer. Diversity is valued and we will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an "at will" basis. Nothing herein is intended to create a contract.

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We are looking for a highly skilled GCP Data Engineer with a strong background in either Python or Java to join our team. As a GCP Data Engineer, you will design, develop, and maintain data processing systems on Google Cloud Platform (GCP) to handle large-scale datasets efficiently. You will work closely with cross-functional teams to build and deploy robust data pipelines, ensuring data availability, accuracy, and accessibility for business analytics and insights. Key Responsibilities: <ul> <li>Design and implement scalable data pipelines using Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Composer. </li><li>Develop data integration solutions to extract, transform, and load (ETL) data from various structured and unstructured data sources. </li><li>Collaborate with data scientists, analysts, and software engineers to optimize data workflows and ensure high-performance data processing. </li><li>Build and maintain automated processes for data ingestion, transformation, and analysis. </li><li>Write efficient, reusable, and reliable code primarily in Python or Java for data processing tasks. </li><li>Optimize and troubleshoot data pipelines for maximum reliability and performance. </li><li>Ensure data governance and security standards are implemented in all aspects of the data pipeline. </li><li>Implement and manage CI/CD pipelines for deploying and monitoring data workflows. </li><li>Work with the operations team to ensure the availability, reliability, and performance of data infrastructure. </li><li>Perform data quality checks, validation, and documentation. </li></ul> Qualifications: <ul> <li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field. </li><li>3+ years of experience in a data engineering role, preferably with cloud platforms (Google Cloud Platform preferred). </li><li>Proficiency in Python or Java for developing data pipelines and ETL processes. </li><li>Strong experience with GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Functions, Cloud Composer. </li><li>Hands-on experience with SQL and query optimization for processing large datasets. </li><li>Knowledge of Apache Beam or Apache Kafka is a plus. </li><li>Experience with version control (Git) and CI/CD pipelines (e.g., Jenkins, Cloud Build). </li><li>Familiarity with data modeling, schema design, and data warehousing concepts. </li><li>Strong problem-solving and troubleshooting skills. </li><li>Excellent communication and collaboration skills, with the ability to work in a team-oriented environment. </li></ul> Preferred Qualifications: <ul> <li>Experience with other cloud platforms like AWS or Azure. </li><li>Knowledge of Terraform or other infrastructure-as-code tools. </li><li>Certification in Google Cloud Professional Data Engineer is a plus. </li><li>Exposure to machine learning workflows or data science projects. </li></ul>

Job Description
Important: This is a hybrid role working at least 2 days per week in the Atlanta, GA, or Southfield, MI office.
How You’ll Make An Impact
Epsilon is seeking a Data Engineer to join our growing data science team assisting with telecommunication clients that we serve.
Work together, win together:
This role reports to the Vice President, Data Science.
Innovate with purpose:
Your role is to interpret the business logic required to turn a complex idea into a sustainable value-added process and ensure the data is usable and viable with near real-time reporting, delivering solutions to the problems presented.
What You’ll Achieve
Impact:
You will design and deploy the data warehousing system to support day-to-day operations and reporting. You will also conduct preliminary testing of data sources and the data warehouse environment before extracting and loading data into the systems.
Career Growth:
If successful, the Senior Data Engineer may gain exposure to other clients where you can make the most impact. Also, you may have an opportunity to level up to a senior or lead role helping to mentor more junior data engineers/analysts and hone your leadership skills.
Who You Are
What you’ll bring with you:
Must be able to adopt all necessary steps required to create analysis-ready data tables including data integration, variable preparation, and quality control. Ensures compliance with the production standards.
Must be familiar with programs and maintain report forms and formats, information dashboards, data generators, canned reports, and other end-user information portals or resources.
Ability to use Azure Databricks and/or Data Factory to perform all work.
Can detect data anomalies and/or inconsistencies and resolve them promptly.
Coach junior Data Engineers on tools and processes within the team.
Initiative – Proactively identifies areas for improvement and automates processes resulting in efficiency gain.
Problem-Solving – Always follow the best practices and architecture guidelines while building data solutions.
Collaboration – Collaborate with the internal and external stakeholders to manage data system enhancements including system specifications, data specifications, structures, and rules.
Organization – Execute multiple projects concurrently and account for the timeliness and quality.
Why you might stand out from other talent:
Bachelor’s degree in computer science or equivalent relevant experience required.
1-3 years of knowledge of ETL Process, Data Hub/Lakes/Mart/Mesh, and Data Democratization.
Exposure to Microsoft Azure, Databricks, and Data Factory is a must-have.
Working knowledge of Telecom Industry data is an advantage.
Additional Information
Epsilon at Our CORE:
Epsilon is a global advertising and marketing technology company positioned at the center of Publicis Groupe. Our products accelerate our clients’ ability to harness the power of their first-party data to activate campaigns across channels and devices, with an unparalleled ability to prove outcomes.
Because You Matter:
As an Epsilon employee, you deserve perks and benefits that put you, your family, and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following:
Time to Recharge: Flexible time off (FTO), 14 paid holidays.
Time to Recover: Paid sick time.
Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance.
Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching, and counseling.
Epsilon benefits are subject to eligibility requirements and other terms.
Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law.

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We are looking for a highly skilled GCP Data Engineer with a strong background in either Python or Java to join our team. As a GCP Data Engineer, you will design, develop, and maintain data processing systems on Google Cloud Platform (GCP) to handle large-scale datasets efficiently. You will work closely with cross-functional teams to build and deploy robust data pipelines, ensuring data availability, accuracy, and accessibility for business analytics and insights. Key Responsibilities:<ul><li>Design and implement scalable data pipelines using Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Composer.</li><li>Develop data integration solutions to extract, transform, and load (ETL) data from various structured and unstructured data sources.</li><li>Collaborate with data scientists, analysts, and software engineers to optimize data workflows and ensure high-performance data processing.</li><li>Build and maintain automated processes for data ingestion, transformation, and analysis.</li><li>Write efficient, reusable, and reliable code primarily in Python or Java for data processing tasks.</li><li>Optimize and troubleshoot data pipelines for maximum reliability and performance.</li><li>Ensure data governance and security standards are implemented in all aspects of the data pipeline.</li><li>Implement and manage CI/CD pipelines for deploying and monitoring data workflows.</li><li>Work with the operations team to ensure the availability, reliability, and performance of data infrastructure.</li><li>Perform data quality checks, validation, and documentation.</li></ul> Qualifications:<ul><li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.</li><li>3+ years of experience in a data engineering role, preferably with cloud platforms (Google Cloud Platform preferred).</li><li>Proficiency in Python or Java for developing data pipelines and ETL processes.</li><li>Strong experience with GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Functions, Cloud Composer.</li><li>Hands-on experience with SQL and query optimization for processing large datasets.</li><li>Knowledge of Apache Beam or Apache Kafka is a plus.</li><li>Experience with version control (Git) and CI/CD pipelines (e.g., Jenkins, Cloud Build).</li><li>Familiarity with data modeling, schema design, and data warehousing concepts.</li><li>Strong problem-solving and troubleshooting skills.</li><li>Excellent communication and collaboration skills, with the ability to work in a team-oriented environment.</li></ul> Preferred Qualifications:<ul><li>Experience with other cloud platforms like AWS or Azure.</li><li>Knowledge of Terraform or other infrastructure-as-code tools.</li><li>Certification in Google Cloud Professional Data Engineer is a plus.</li><li>Exposure to machine learning workflows or data science projects.</li></ul>

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Data Engineer Jobs in Southfield, MI

Data Engineer Tableau DeveloperNovember 14, 2024

Data Engineer Tableau DeveloperNovember 11, 2024

Data Engineer Tableau DeveloperNovember 10, 2024

Gcp Data EngineerNovember 7, 2024

Azure Data EngineerNovember 6, 2024

Gcp Data EngineerOctober 24, 2024