Mid-Senior Data Engineer

Job not on LinkedIn

🕒 July 5, 2025

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Digital Matter

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏢 Enterprise

Marketing • Analytics • Enterprise

Digital Matter is a company that specializes in performance marketing solutions for ambitious brands in a competitive landscape. They provide services that optimize marketing performance by leveraging data mining, customer analytics, performance marketing optimization, and business transformation. Digital Matter adopts a consultative and creative approach to analytics, helping clients understand, reshape, and direct their data to drive impactful results. Their integrated and data-driven marketing strategies focus on developing marketing capabilities and transforming organizations towards achieving peak performance.

📋 Description

• Architect and build scalable, fault-tolerant ETL/ELT pipelines to ingest and transform data from multiple sources into data warehouses and lakes. • Design, implement, and optimize data models and storage layers for performance, scalability, and quality. • Develop complex SQL queries and Python scripts to support transformation and automation workflows. • Collaborate with internal stakeholders to scale and enhance the performance of our existing proprietary algorithms and related models. • Partner with offshore consultants and internal teams to ensure consistency, accuracy, and availability of data. • Define and implement best practices for data governance, security, and quality. • Own data infrastructure documentation and establish foundational processes for future team scaling. • Contribute to the technical roadmap, identifying tooling, architecture decisions, and long-term platform direction.

🎯 Requirements

• 7+ years of experience in data engineering, with hands-on experience building and maintaining modern data pipelines. • Bachelor's degree preferably in Computer Science, Engineering, Information Systems, or a related quantitative field. • Expert-level SQL skills with demonstrated experience writing complex queries, optimizing performance, and working across large-scale relational and cloud data environments. • Strong programming skills in at least one modern language (e.g., Python, Scala, or Java). • Experience with both relational and non-relational databases (e.g., PostgreSQL, SQL Server, DynamoDB). • Experience with cloud data platforms such as AWS (S3, Redshift, Glue), Azure, Snowflake, or Databricks. • Familiarity with big data tools (e.g., Spark, Kafka, Hadoop). • Version control experience (e.g., Git). • Strong communication skills and the ability to translate technical concepts to non-technical stakeholders. • Comfortable working autonomously and navigating ambiguity in a startup-like environment. • Experience collaborating with or managing technical work streams with offshore or external teams. • Nice to Have: • Experience setting up CI/CD pipelines for data workflows. • Familiarity with data visualization tools (e.g., Tableau, Power BI) and basic data analysis. • Exposure to streaming data technologies. • Background in data governance and/or Master Data Management (MDM). • Experience collaborating with offshore teams or managing vendor-based reporting workflows.

🏖️ Benefits

• Competitive salary • Full coverage health insurance including Medical, Dental, and Vision • 401K with company contribution • 17+ vacation days in addition to company holidays, sick days, and summer Fridays • Pre-taxed commuter benefits • 16 weeks of paid parental leave • And more...