Data Engineer

Fortune 500 Companies; Deerfield Beach (FL); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is looking for a skilled Data Engineer/ETL Developer to enhance their data infrastructure. In this dynamic role, you'll design and maintain robust ETL processes, ensuring data quality and integrity while collaborating with technical and business teams. You'll be at the forefront of innovation, utilizing advanced ETL tools and methodologies to optimize data pipelines. This position offers the chance to mentor junior associates and contribute to operational improvements in a collaborative environment. If you're passionate about data and eager to drive impactful results, this is the perfect opportunity for you.

Qualifications

• 7+ years of experience in Data Engineering with a focus on ETL.
• Proficiency in ETL tools and SQL for data modeling.
• Strong analytical and problem-solving skills.

Responsibilities

• Design and maintain ETL processes for data integration.
• Collaborate with teams to ensure data quality and integrity.
• Mentor junior associates and manage data governance.

Skills

ETL Development

SQL

Data Pipeline Building

Data Management

Problem-Solving

Communication Skills

Education

Bachelor's Degree in Technology

Tools

Informatica Power Center

IICS

CosmosDB

Microsoft PowerBI

Job description

Get AI-powered advice on this job and more exclusive features.

We are seeking a highly skilled Data Engineer/ETL Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines and ETL processes to support our data infrastructure. This role requires a deep understanding of data engineering principles, ETL development, and the ability to work closely with both technical and business teams to ensure data quality and integrity.

Responsibilities:

• Design, develop, and maintain ETL processes to extract, transform, and load data from various source systems into data warehouses and data lakes.
• Build and optimize data pipelines to ensure efficient data flow and processing.
• Develop source-to-target mappings for data lineage and document source architecture, including data flows.
• Perform data profiling and ensure data quality requirements are accurate and complete.
• Collaborate with business analysts and stakeholders to understand business requirements and translate them into technical specifications.
• Provide subject matter expertise on data usage and educate teams on data models, metadata, and standards.
• Act as a change agent in support of operational improvements and recommend standards, guidelines, and procedures to improve operational efficiencies.
• Partner with management and business units on innovative ways to utilize data and related tools to advance business objectives.
• Work with the governance council to establish data governance standards and guidelines.
• Actively involve in defining the QA strategy, test plans, and use cases to validate data.
• Provide day-to-day support, troubleshooting, and incident management and resolution.
• Communicate planned and unplanned activities to appropriate parties as needed.
• Support SET BUIT pre-project data assessments and conversion of Tableau/Cognos to Microsoft PowerBI.
• Assist with business data lake testing/experimentation and coordinating data dictionary completions.
• Mentor junior associates and project DA resources.

Requirements:

• Bachelor’s degree or equivalent plus 7 years of related professional experience. Degree in a technology-related area preferred.
• 5+ years of experience as a Data Engineer with a focus on ETL development.
• Strong experience building data pipelines to bring together information from different source systems.
• Proficiency in ETL tools such as Informatica Power Center and IICS development.
• Strong experience with SQL and data modeling concepts and techniques.
• Experience with NoSQL databases, particularly CosmosDB.
• Proficiency in JSON and data integration techniques.
• Well-versed in data management concepts, data lifecycle, and methodologies.
• Willingness to become certified in Data Management.
• Strong thought leadership skills and the ability to drive innovation and performance improvement.
• Excellent analytical, problem-solving, and decision-making skills, leveraging both logic and creativity.
• Excellent written and oral communication, organizational, and presentation skills.
• Ability to handle multiple competing priorities in a dynamic environment.
• Demonstrated facilitation and meeting management skills.
• Ability to understand the unique needs of the customer and translate them into actionable results while delivering high-quality outcomes.
• Ability to influence and motivate individuals and teams to drive mutually beneficial outcomes.
• Excellent interpersonal skills with the ability to build relationships within and between individuals and cross-functional teams.
• Enjoy working in a team-oriented, collaborative environment as well as autonomously.
• High achievement orientation with a willingness to learn.
• Solid overall understanding of technology concepts, trends, and capabilities.
• Working knowledge of project management principles is a plus.
• Minimal travel as needed.
• Willingness to be on-call as needed.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Information Services

Referrals increase your chances of interviewing at Fortune 500 Companies by 2x

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.