Data Engineer

Responsibilities:

• Design, develop, and maintain data pipelines to ingest, process, and store large volumes of structured and unstructured data from various sources.
• Implement ETL (Extract, Transform, Load) processes to ensure data is transformed and loaded into data warehouses, data lakes, or other storage solutions.
• Create data products for analytics and data scientist team members to improve their productivity.
• Create and maintain comprehensive documentation for data pipelines, data models, and database configurations.
• Conduct training sessions and provide support to end-users and other team members on data access and usage.
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
• Develop and implement data quality checks, validation rules, and monitoring processes to ensure data accuracy and completeness.
• Collaborate with data governance teams to establish and enforce data standards and best practices.
• Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.

Key Skills:

Domain Expertise:

• Bachelor's degree preferred; Computer Science, MIS, or Engineering preferred
• 5+ years of experience working in data engineering or architecture role, 7+ preferred (3 years preferred for Jr. role)
• Significant experience developing and maintaining data warehouses in big data solutions (e.g., Snowflake, SAP Hana, Oracle, SQL Server, Teradata, etc.)
• Proficiency in programming languages such as Python, Java, Scala, or SQL
• Experience developing and maintaining ETL/data pipelines (e.g., Microsoft SSIS, Azure Data Factory)
• Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
• Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies
• Strong knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
• Big Data Development experience using Hive, Impala, Spark and familiarity with Kafka
• Exposure to machine learning data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
• Experience with ETL tools and processes (e.g., Apache NiFi, Talend, Informatica)
• Cloud environment preferred but not required

Agile / Analytics Experience:

• Passionate about data-driven development, reliability, and experimentation
• Experience working on a collaborative agile product team
• Passionate and curious about data

Individual Skills:

• Strong written and verbal communication skills
• Demonstrated success with problem-solving and learning skills
• Ability to work and direct work with excellent communication, listening, and influencing skills
• English C1 or above is required.

Motivators Behaviors:

• Ability to handle ambiguity and willing to adjust position based on additional information
• Ability to collaborate and influence at an abstract level and gain consensus
• Comfortable working within a matrixed environment

What do we offer?

• Contractor model
• 100% remote
• Salary in USD
• Paid Vacations
• Day off for birthdays
• Benefits courses and/or certifications
• Work on leading projects for our US customers, and not on the bench