Data Engineer I at Catalyst Brands

Dallas, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

0.0

Posted On

21 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Snowflake, Redshift, Spark, AWS, Data pipelines, ETL, Data modeling, Hive, Agile, Scrum, Data governance, Data quality, Cloud computing, Data architecture

Industry

Business Consulting and Services

Description

Overview Data Engineer I, Technology | Data & Analytics We are looking for a Data Engineer I to join our growing team of data experts. This role is responsible for developing, maintaining, and optimizing data pipelines, delivering data timely to our cross-functional teams, and supporting reporting and analytics. The Engineer will work closely with product partners, data analysts, report developers, architects, data scientists, and other engineers on data initiatives and will be involved in designing our next generation of data platform architecture to support increasing data demands. Primary Responsibilities: • Design, build, and maintain scalable, secure and reliable data pipelines and platforms. • Develop ETL processes to ingest, transform, and load data into the data lake, ensuring data quality, integrity, and consistency. • Collaborate with business stakeholders, report developers, and data scientists to understand data requirements and translate them into technical solutions for various business purposes. • Drive performance, scalability, and cost optimization across data infrastructure. • Implement data governance, quality, security, and compliance practices. • Troubleshoot data issues, identify root causes, and implement solutions in a timely manner. • Demonstrate excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Basic Qualifications • Bachelor’s degree in computer science, engineering or related field with 2+ years of experience in a Data Engineer role. • Experience as a Data Engineer with a strong track record of designing and implementing data solutions. • Proficiency in a programming language such as Python, with experience in building data pipelines and workflows. • Experience with cloud data warehousing technologies, such as Snowflake and Redshift. • Experience with distributed computing frameworks Spark. • Familiarity with cloud platforms AWS and their services (e.g., S3, EC2, EMR, Glue, CloudWatch, Athena, Lambda). • Knowledge of database concepts, data modeling, schemas, and query languages (SQL and Hive). • Experience with Agile/Scrum development processes and methodologies. Preferred Qualifications • Master’s degree in computer science, engineering, data science related field. • Experience with containerization and orchestration technologies, such as Docker and Kubernetes. • Experience building CI/CD pipelines using tools like GitLab and Bitbucket. • Familiarity with data pipeline orchestration tools, such as Airflow and Jenkins. • Knowledge of data visualization and reporting tools, such as MicroStrategy, Tableau, and Power BI. • Understanding of data quality and monitoring techniques and tools, such as Great Expectations. • Knowledge of data governance processes (lineage, cataloging, dictionaries) using tools like DataHub. • Familiarity with streaming data processing and real-time analytics technologies, such as Kafka. • Retail industry experience. Pay Range USD $103,500.00 - USD $172,500.00 /Yr.

Responsibilities

The Data Engineer will design, build, and maintain scalable data pipelines and platforms while ensuring data quality and integrity. They will collaborate with cross-functional teams to translate business requirements into technical solutions and optimize data infrastructure performance.