Contract Data Engineer II-id-9062

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Here’s an SEO-optimized and USA-targeted rewrite of your job posting for a Senior Data Engineer II at TrueML, complete with job-seeking tips, FAQs, and a keyword list tailored for U.S.-based search intent.

🔍 Senior Data Engineer II – TrueML Careers (Remote, U.S.)

💡 Why Work at TrueML?

TrueML is a mission-driven fintech company reshaping the way distressed borrowers experience financial services. In today’s digital-first world, customers expect personalized and intuitive digital engagement—especially when it comes to their finances. That’s where TrueML stands out.

By combining advanced machine learning, customer insights, and real-time data processing, we create tailored digital experiences that meet borrowers where they are.

Our diverse team includes data scientists, software engineers, and customer experience experts who are passionate about making the financial system more inclusive and human.

🧠 About the Role: Senior Data Engineer II (Remote)

We are hiring a Senior Data Engineer II to help us design, build, and maintain our next-generation Data LakeHouse platform using Apache Iceberg, AWS, and modern data engineering best practices. This is your opportunity to lead innovations that power real-time analytics, reporting, and machine learning across a modern, cloud-native data stack.

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✅ Key Responsibilities:

  • Build Data LakeHouse Architecture: Design and implement robust data platforms using open table formats (e.g., Apache Iceberg) that support scalable and high-performance data applications.
  • Develop ETL Pipelines: Build efficient, reliable, and scalable data pipelines for both batch and streaming workloads using tools like Python, SQL, and Spark.
  • Data Modeling: Design structured and semantic data layers for reporting and machine learning.
  • AWS Cloud Infrastructure: Manage AWS infrastructure (e.g., S3, Glue Catalog, IAM) using Infrastructure as Code (IaC) tools like Terraform and Kubernetes.
  • Implement CI/CD Pipelines: Enable automated and consistent deployments.
  • Monitoring & Troubleshooting: Ensure data quality, pipeline performance, and reliability by monitoring SLAs and resolving incidents.
  • Team Collaboration: Work closely with data scientists, analysts, and platform engineers to support enterprise-wide data initiatives.

💼 Required Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or related technical field (Master’s preferred)
  • 5+ years of engineering experience (3+ years in a data engineering role)
  • Strong skills in Python and SQL
  • Deep experience with AWS data services (e.g., S3, Glue, IAM, Secrets Manager)
  • Hands-on expertise in Apache Iceberg, data lake/lakehouse technologies
  • Experience with Terraform, Kubernetes, and data transformation tools

⭐ Preferred Skills:

  • Experience with Airflow, DBT, and Snowflake
  • Streaming technologies: Apache Flink, Spark Streaming
  • Familiarity with Domain-Driven Design and event-driven architecture
  • Relevant certifications (AWS, Snowflake, etc.)

💵 Salary Range:

$62,000 – $77,000 per year

Actual compensation depends on experience, skills, and location.

📍Location: Remote (Mexico, Argentina, or the Dominican Republic only)

🌍 Diversity & Inclusion at TrueML

At TrueML, we are proud to be an equal opportunity employer. We believe diversity of thought leads to better products, better decision-making, and stronger innovation. We do not discriminate on any basis and actively promote an inclusive environment.

📘 Job Search Tips: How to Get Hired as a Data Engineer in the U.S.

Looking to land your next remote or U.S.-based data engineering job? Here are proven tips:

  1. Tailor Your Resume for Each Job: Use the job description keywords (like “AWS,” “Apache Iceberg,” or “Python”) to pass ATS filters.
  2. Highlight Projects & Metrics: Showcase your impact—data volume handled, performance improvements, or cost reductions.
  3. Contribute to Open Source: Participating in open-source data projects on GitHub can build credibility and visibility.
  4. Keep Learning: Stay current with tools like DBT, Apache Iceberg, Snowflake, and streaming frameworks.
  5. Network Actively: Use LinkedIn to connect with hiring managers and recruiters. Don’t hesitate to ask for referrals.

❓ Frequently Asked Questions (FAQs)

✅ Is this a remote job in the U.S.?

No. This role is remote but only open to candidates located in Mexico, Argentina, or the Dominican Republic.

💼 Does TrueML offer visa sponsorship?

Not for this role. Candidates must already be authorized to work in the approved countries.

🧾 What tools should I know for this job?

You should be proficient in Python, SQL, AWS, Terraform, and Apache Iceberg. Bonus if you know Airflow and DBT.

💰 What’s the expected salary?

The base salary ranges between $62,000–$77,000/year, depending on experience and location.

📩 Ready to Apply?

If you’re passionate about data engineering, cloud infrastructure, and fintech innovation, apply now and join TrueML in building a more inclusive financial future.

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Contract Data Engineer II-id-9062

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