Data Engineer

Encora Inc.; Indianapolis (IN); Remote; USD 80,000 - 110,000; Full time

Job summary

Ein innovatives Unternehmen sucht einen talentierten Data Engineer, der eine Schlüsselrolle bei der Gestaltung und Pflege skalierbarer Datenpipelines spielt. In dieser spannenden Position werden Sie eng mit Analysten und Wissenschaftlern zusammenarbeiten, um Datenanforderungen zu verstehen und in Lösungen umzusetzen. Sie werden moderne Cloud-Technologien nutzen, um eine leistungsstarke Datenplattform zu entwickeln. Wenn Sie eine Leidenschaft für Daten haben und in einem dynamischen Umfeld arbeiten möchten, ist dies die perfekte Gelegenheit für Sie.

Qualifications

• 2-5 Jahre Erfahrung als Data Engineer oder in ähnlicher Rolle.
• Kenntnisse in SQL und einer Programmiersprache wie Python oder Java.

Responsibilities

• Entwicklung und Wartung robuster ETL/ELT-Pipelines mit Tools wie Apache Airflow.
• Optimierung und Verwaltung von Datenlagerlösungen wie Snowflake oder BigQuery.

Skills

SQL

Python

Data Modeling

ETL/ELT Tools

Problem-Solving

Tools

Apache Airflow

Snowflake

BigQuery

Redshift

Azure Synapse

Git

Job description

Encora is looking for a skilled and motivated Data Engineer with 2–5 years of experience to join our growing data team. You will play a key role in designing, building, and maintaining scalable data pipelines and infrastructure that empower analytics, machine learning, and business intelligence. The ideal candidate is passionate about data, has a solid understanding of modern data engineering practices, and is comfortable working in a fast-paced environment.

This is a 6 month project with high likelihood of extension, working 100% remote supporting EST work hours.

Key Responsibilities:

• Design, develop, and maintain robust ETL/ELT pipelines using tools like Apache Airflow, dbt, or similar.
• Work closely with data analysts, scientists, and business stakeholders to understand data requirements and translate them into scalable solutions.
• Optimize and manage data storage and data lake/warehouse solutions (e.g., Snowflake, BigQuery, Redshift, or Azure Synapse).
• Ensure data quality, integrity, and compliance with data governance and security policies.
• Monitor and troubleshoot data workflows to ensure high availability and performance.
• Contribute to the architecture and development of a modern data platform using cloud technologies (AWS, GCP, or Azure).
• Document data models, pipelines, and processes for internal use and training.
  
  

Required Qualifications:

• 2–5 years of hands-on experience as a Data Engineer or similar role.
• Proficiency in SQL and at least one programming language (e.g., Python, Java, or Scala).
• Experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, dbt, Luigi).
• Solid understanding of data modeling, warehousing concepts, and performance tuning.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with version control tools like Git and CI/CD practices.
• Strong problem-solving skills and attention to detail.