
Software-engineer Careers in columbus ∙ Page 9
231 Remote & work from home jobs online








Network Engineer - Customer Outreach
BlueWater Federal Solutions · Columbus, United States Of America · Onsite

Entry-Level Environmental Engineer - Water / Wastewater
Brown and Caldwell · Columbus, United States Of America · Hybrid




Manufacturing Engineer-NC Programming- McCauley
Textron Aviation · Columbus, United States Of America · Onsite





Senior Engineer, Observability (Remote)
Abercrombie and Fitch Co. · Columbus, United States Of America · Remote

Manufacturing Process Engineer (7075)
American Honda Motor Co., Inc. · Columbus, United States Of America · Onsite

Software Engineer II - Big Data, Data Analytics
189174-INVESTMENT TECHNOLOGY-NY/DE · Columbus, United States Of America · Onsite
Data Engineer (W2 Contract)
HARAMAIN SYSTEMS INC. · Columbus, United States Of America · Hybrid
- Professional
- Office in Columbus
Job Title: Data Engineer (W2 Contract)
Location: Hybrid – Columbus, OH (2–3 days onsite per week)Duration: 6–12 months
Type: W2 Contract
🧩 About the Role:
We’re seeking an experienced Data Engineer to support enterprise-level data architecture and pipeline development in a hybrid environment. This role is ideal for someone who thrives in cloud-native ecosystems and enjoys building scalable, secure, and high-performance data solutions.
🔍 Key Responsibilities:
- Design and implement robust data pipelines for batch and real-time processing
- Develop ETL/ELT workflows using tools like Azure Data Factory, Databricks, or Apache Spark
- Architect and optimize data lakes and warehouses (Azure Synapse, Snowflake, or Redshift)
- Ensure data quality, lineage, and governance across all environments
- Collaborate with data scientists, analysts, and application teams to deliver integrated solutions
- Monitor and troubleshoot data flows, performance bottlenecks, and security issues
- Document architecture, workflows, and operational procedures
🧠 Required Skills & Experience:
- 5+ years of hands-on experience in data engineering
- Strong proficiency with Azure Data Lake, Azure Synapse, and Databricks
- Expertise in Python, SQL, and Spark for data transformation
- Experience with cloud security principles (Active Directory, encryption, network policies)
- Familiarity with CI/CD tools and version control (Git, Azure DevOps)
- Solid understanding of data modeling, schema design, and performance tuning