Data Engineer - Pittsburgh, United States - Telos Gifting LLC
Description
About Us:
The Wolfe Companies, LLC, a leader in the Gift Card and FinTech sectors, is known for its prominent brands such as PerfectGift, Gift Card Granny, GiftYa, Reaf Marketing, and Give InKind.
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Role Summary:
As a Data Engineer, you'll be at the forefront of shaping our data infrastructure, driving innovation through the design, development, and maintenance of advanced data pipelines.
This pivotal role involves collaboration with cross-functional teams to meet dynamic business needs, optimizing data systems for peak performance, and ensuring the highest data integrity.
You will leverage cutting-edge technologies in data processing and cloud computing, contributing directly to our data-driven decision-making processes and fostering actionable insights.
Join us in transforming vast data landscapes into strategic assets that propel our business forward.Responsibilities:
Design, develop, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data from diverse sources.
Optimize and tune database systems and data processing workflows to ensure optimal performance and efficiency.
Implement data quality checks, monitoring, and logging mechanisms to ensure data integrity, reliability, and availability.
Stay current with emerging technologies and best practices in data engineering, big data processing, and cloud computing to continuously improve our data infrastructure.
Work closely with data scientists, analysts, and business stakeholders to support data-driven decision-making and provide actionable insights.Document and maintain technical specifications, diagrams, and documentation for data pipelines, systems, and processes.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
3 years of experience in data engineering, ETL development, or related roles.
Proficiency in programming languages such as Python, SQL, or Scala.
Hands-on experience with big data technologies like Hadoop, Spark, or Kafka.
Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and managing data infrastructure.
Strong understanding of data modeling concepts, relational databases, and data warehousing principles.
Excellent problem-solving and analytical skills, with the ability to troubleshoot and optimize data pipelines and systems.
Effective communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Preferred Qualifications:
Experience with data streaming and real-time processing technologies (e.g., Apache Kafka, Apache Flink).
Knowledge of containerization and orchestration tools like Docker and Kubernetes.
Familiarity with machine learning frameworks and techniques for data analysis and predictive modeling.
Experience with agile development methodologies and version control systems like Git.
Compensation & Benefits:
Wolfe is committed to providing its employees with a benefits package designed to give them the flexibility they need to ensure a healthy life/work balance.
Restricted Stock Units (RSUs)
Medical, Vision, and Dental insurance for employees and dependents
15 days of PTO (vacation). 20 days after the 2-year anniversary. 25 days after the 5-year anniversary.
12 Paid Holidays plus 2 Floating Holidays
401(k)
Tuition Reimbursement
Employee recognition program
Charitable Donation to a Charity of YOUR Choice yearly
Family Picnic, Holiday Party, and other employee outings
Brown bag sessions to keep you informed on the company/industry
Internal Culture Club
Competitive Compensation
Wolfe is an Equal Opportunity Employer.
Wolfe does not sponsor individuals for the purpose of obtaining H-1 Visas.
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