Data Engineer

Ethereum Technologies; Atlanta (GA); On-site; USD 110,000 - 150,000; Full time

Job summary

Ethereum Technologies is seeking a Data Engineer to design, develop, and maintain reliable data pipelines and processing solutions. The role emphasizes Python and SQL proficiency, ETL/ELT design, and cloud platform experience.

Responsibilities include developing scalable data pipelines, writing optimized SQL, and collaborating with analysts to support data warehousing and data-driven decisions. A strong focus on data quality and processing efficiency is essential.

Qualifications

• Proficient in Python and SQL for data pipeline development.
• Experience with ETL/ELT processes and data warehousing concepts.
• Knowledge of cloud platforms (AWS/Azure) and Spark-based processing.

Responsibilities

• Develop and maintain scalable data pipelines using Python.
• Design and implement ETL processes for data integration.
• Write and optimize complex SQL queries.
• Perform data extraction, transformation, and loading.
• Develop data validation and quality-checking processes.
• Work with structured and unstructured datasets.
• Support data warehouse development and maintenance.
• Collaborate with data analysts and business teams.

Skills

Python

SQL

Analytical thinking

Problem solving

Tools

PySpark

Apache Spark

AWS

Azure

ETL

Data Warehousing

Data Pipelines

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

We are looking for a Data Engineer to design, develop, and maintain reliable data pipelines and data processing solutions. The ideal candidate should have strong programming skills in Python and SQL, along with knowledge of data warehousing, ETL processes, and cloud-based data platforms.

Key Responsibilities:

• Develop and maintain scalable data pipelines using Python.
• Design and implement ETL processes for data integration.
• Write and optimize complex SQL queries.
• Perform data extraction, transformation, and loading.
• Develop data validation and quality-checking processes.
• Work with structured and unstructured datasets.
• Support data warehouse development and maintenance.
• Collaborate with data analysts and business teams.
• Strong programming knowledge in Python.
• Proficiency in SQL and database management.
• Understanding of ETL and ELT processes.
• Knowledge of data warehousing concepts.
• Familiarity with Apache Spark or PySpark.
• Understanding of cloud platforms such as AWS or Azure.
• Knowledge of data modeling and data integration.
• Strong analytical and problem-solving skills.

Required Skills & Qualifications:

Technical Environment:

Python, SQL, PySpark, Apache Spark, ETL, Data Warehousing, AWS, Azure, and Data Pipelines.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.