Data Engineer

Job not on LinkedIn

June 30

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

💵 $120k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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DevIQ

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SaaS • Artificial Intelligence • Cloud

DevIQ is a company that specializes in modern cloud and data solutions, with deep expertise in AWS and Microsoft Azure platforms. They provide a range of services including custom software development, data insights, advanced analytics, machine learning, and artificial intelligence. DevIQ is known for their ability to jump in and add value at any stage of a project, helping clients across various industries such as retail, healthcare, and industrial IoT to innovate and compete in their respective fields. Their team brings a combination of technical skill, product vision, project management, and operational excellence to deliver tailored solutions that align with business needs.

11 - 50 employees

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Build robust and scalable data pipelines that support high-quality analytics and machine learning solutions for our clients. • Design workflows that ingest, transform, clean, normalize, and augment data from various sources. • Comfortable working in cloud-based environments and have experience with structured and unstructured data. • Strong command of SQL and Python is essential, along with practical experience using Pandas, Apache Spark, or similar data transformation frameworks.

🎯 Requirements

• 3+ years of hands-on experience with SQL and Python in data engineering or analytics roles • Experience with data transformation tools/frameworks such as dbt, Pandas and Apache Spark • Familiarity with cloud data platforms (e.g., Azure, AWS, Databricks) • Solid understanding of ETL/ELT processes and pipeline orchestration • Experience using version control systems like Git • Strong communication and problem-solving skills • Proactive in seeking opportunities to learn and grow skillset • Experience with Databricks, including use of Delta Lake, Spark notebooks, and Unity Catalog in production environments (Preferred) • Experience with modern Data and ML workflow tools (e.g., Airflow, MLflow) (Preferred) • Familiarity with data visualization libraries or tools (e.g., matplotlib, Power BI, Tableau) (Preferred) • Understanding of best practices in data modeling, data quality, and pipeline monitoring (Preferred) • Prior experience in a consulting or client-facing role (Preferred)

🏖️ Benefits

• Competitive financial compensation and utilization bonus plans • Medical, Dental, Vision Insurance • 401k, With 4% Matching • Paid Time Off • Health Savings Account (HSA)/Flexible Spending Account (FSA) • Short-Term/Long-Term Disability Insurance • Business funded Life Insurance Plan • Dynamic yet relaxed work atmosphere • Wide Variety of Growth Opportunities