Data Engineer (Junior / Mid / Senior)

Siri InfoSolutions Inc
Columbus, OH, United States
about 1 month ago
Apply on www.careerjet.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Cloud Computing Data Architecture Information Engineering Data Governance Extract Transform Load (ETL) Data Transformation Graph Database Python (Programming Language) Meta-Data Management Neo4j Standard Sql SQL Databases
+9 more
Cloud Platform System Data Ingestion Snowflake Data Lakes Pyspark Data Management Cloud Integration Restful APIs Data Pipelines

Job description

We are looking for passionate Data Engineers across multiple experience levels to design, build, optimize, and maintain scalable data platforms and pipelines. You will work with modern cloud technologies, primarily Snowflake, Python, SQL, and ETL/ELT frameworks, to enable high-quality, reliable, and business-ready data products. Senior engineers will also provide technical leadership, architect enterprise data solutions, collaborate with stakeholders, and mentor engineering teams., Common Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines.
  • Develop and optimize SQL queries and data transformation workflows.
  • Build and support data ingestion pipelines from multiple data sources.
  • Implement data quality, validation, and monitoring processes.
  • Develop solutions using Snowflake and cloud-based data platforms.
  • Collaborate with business, analytics, and engineering teams.
  • Participate in Agile ceremonies and contribute to continuous improvement.
  • Troubleshoot production issues and optimize pipeline performance.

Mid-Level Responsibilities (5 7 Years)

  • Build robust data pipelines using Python/PySpark.
  • Develop curated datasets for analytics and reporting.
  • Integrate REST APIs and external data sources.
  • Support metadata onboarding and governance initiatives.
  • Improve pipeline scalability, automation, and performance.

Senior-Level Responsibilities (8 10 Years)

  • Architect enterprise-scale Data Lake and Data Product solutions.
  • Lead Snowflake platform design and optimization initiatives.
  • Drive metadata management and data governance strategies.
  • Work with Knowledge Graph concepts (Neo4j) where applicable.
  • Define best practices for data engineering, security, and scalability.
  • Mentor junior engineers and provide technical leadership.
  • Collaborate with business stakeholders to translate requirements into technical solutions., Description: A Level 5 Switchgear Field Engineer leads complex field service activities for medium- and high-voltage switchgear systems, serving as a technical authority on insta…
  • 1 day ago

Requirements

  • Data Engineer: 3 5 Years
  • Data Engineer: 5 7 Years
  • Senior Data Engineer: 8 10 Years, Data Engineering
  • SQL
  • Snowflake
  • Python
  • PySpark
  • ETL/ELT Development
  • Data Pipeline Design & Development
  • Data Ingestion & Transformation
  • Data Quality & Validation

Cloud & Integration

  • REST API Integration
  • Data Curation
  • Metadata Management
  • Data Lake Architecture
  • Data Product Development

Senior-Level Preferred Skills

  • Knowledge Graph Concepts (Neo4j)
  • Enterprise Data Architecture
  • Technical Leadership
  • Stakeholder Management
  • Solution Design & Architecture

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:24 min

Comparing Neo4j and GraphQL conceptual models

William Lyon · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

1:19 min

The true role and evolution of data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:30 min

Introduction to Neo4j and remote developer relations work

Videos

See all

Related articles

See all