Senior Data Engineer

SYSTECH USA; Glendale (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Systech Solutions, Inc. in Glendale, CA is seeking a Senior Data Engineer to design, build, and optimize modern data platforms using Databricks, Delta Lake, SQL, Python, and PySpark.

You will develop scalable pipelines, enforce data quality, and support production workloads across enterprise initiatives. You will collaborate with stakeholders to translate business needs into robust data solutions, participate in CI/CD, and advance security and governance practices within a fast-paced analytics

Qualifications

• Design, develop, and maintain scalable data pipelines and ETL/ELT solutions.
• Implement Bronze, Silver, and Gold data processing and metadata-driven transformations.
• Develop and optimize Databricks workflows and orchestration.
• Follow data governance, security, and compliance practices across data pipelines.

Responsibilities

• Design end-to-end data pipelines across batch and streaming workloads.
• Translate business requirements into production data solutions.
• Build data flows across structured, semi-structured, and unstructured sources.
• Monitor pipelines, perform root-cause analysis, and resolve issues.
• Collaborate with architects, stakeholders, and QA/UAT teams to deliver solutions.

Skills

SQL

Python

Data pipelines

CI/CD

Data governance

Tools

Databricks

Delta Lake

SQL

Python

PySpark

Job description

We hire people who want to own hard problems and see their work make a real difference. People who are driven by the work itself — not just the job description. If that sounds like you, you'll fit right in.

4.2 / 5 on Glassdoor. 92% of employees would recommend Systech to a friend. 180+ verified reviews.

Why Systech

Four reasons the best data people choose to stay.

We have practitioners who've been here for 10, 20, even 30 years. That doesn't happen by accident. Here's what they tell us keeps them here.

Work on problems that actually matter

Your projects will be real enterprise challenges — Walmart's supply chain, Tesla's data platform, Nestlé's global analytics estate. Not internal tools. Not demos. Problems where your work changes how a business operates at scale.

Ownership culture, from day one

We don't just take orders, we take ownership — of the problem and of the outcome. From your first week, you're treated as a professional who can make decisions, not a resource following a script. That's not a value on a poster. It's how every engagement actually runs.

Stay current — it's built into your job

The AI landscape changes every six months. At Systech, keeping up isn't something you do on weekends. Boot camps, certification programs, AI accelerators, and access to our own GPU stack for model training — staying sharp is part of the work, not extra credit.

4.2

92 %

would recommend
to a friend

"

Systech has been a major part of my career growth over 12 years, helping me progress from a Software Engineer to a Product Manager, while continuously expanding my technical and leadership skills.

Verified Glassdoor review · 12 years at Systech

Systech's work is organised around three practice areas — each a fully developed career path, not just a service label.

Practice Area 01

Data Foundation

Where data becomes decisions. BI, intelligent analytics, ML, and the managed services that keep insight flowing long after go-live.

The frontier. Agentic AI, multi-agent orchestration, enterprise model deployment, and the WizarD™ platform. Where the industry is heading next.

We don\'t leave skill building to chance.

Every practitioner at Systech goes through a structured growth model — from onboarding through to advanced certification. Not optional. Not self-directed. Built in.

1

Structured onboarding

Every new joiner goes through a structured immersion into Systech's values, ways of working, and technical standards. Culturally and operationally ready before you ever touch client work.

First 30 days

2

Boot camps & accelerators

Intensive programmes across data engineering, cloud platforms, and AI — run by senior Systech practitioners, not third-party trainers. You learn how we actually work, not generic theory.

Boot camps & accelerators

Intensive programmes across data engineering, cloud platforms, and AI — run by senior Systech practitioners, not third-party trainers. You learn how we actually work, not generic theory.

First 90 days

3

Partner certifications

Databricks, Snowflake, Azure, AWS — certified at the platform tier, not just trained. Systech covers the cost. You keep the credential wherever your career takes you.

Ongoing · 100+ certified annually

4

Work directly on our GPU stack for enterprise model training. Contribute to WizarD™, aiDE™, and DBShift™ development. The frontier isn't something you read about here — it's what you build.

AI lab access

Work directly on our GPU stack for enterprise model training. Contribute to WizarD™, aiDE™, and DBShift™ development. The frontier isn't something you read about here — it's what you build.

For senior & senior+ roles

5

Leadership track

Client engagements expose you to strategy, architecture, and project leadership from early in your tenure. Career advancement at Systech is based on performance, not tenure.

Leadership track

Client engagements expose you to strategy, architecture, and project leadership from early in your tenure. Career advancement at Systech is based on performance, not tenure.

Performance-led · Not tenure-led

400+

Practitioners trained annually Data Analytics essentials programme

100+

Platform certifications per year Databricks · Snowflake · Azure · AWS

4

30yrs

Of institutional knowledge behind you Longest-tenured practitioners: 20–30 years

When people ask what keeps them at Systech, the answer is usually the same: the quality of the problems, the quality of the people around them, and the feeling that their growth is genuinely someone else's priority.

Ownership culture Performance-led growth Global team Real problems Built-in learning

"The constant hunger to learn — that's the Systech DNA."

Sunil Kumar · Head of Product Innovation

"Systech has been a major part of my career growth over 12 years — helping me progress from Software Engineer to Product Manager, expanding across Python, data engineering, AI, and ML. Leadership is extremely supportive and encourages continuous learning and upskilling."

"Bootcamp training is the best in the industry for DWH and ETL concepts. You get the opportunity to work with multiple clients with full freedom, and learn new technologies with the flexibility to move across different areas."

Data Engineer, Chennai

Where We Work

Glendale, California

US operations & leadership

Dubai, UAE

Middle East & international growth

Open Positions

What we\'re hiring for right now.

Every role listed here is an active hire — updated in real time by our internal team. No ghost listings.

Job ID: JD20261009-1183 Experience: 4 yrs Positions: 1

About the Company

Systech is a modern Data and Analytics consulting firm helping clients embed data-driven capabilities into operations.

Job Description

We are looking for a Senior Data Engineer with strong hands-on experience in building and supporting modern data platforms using Databricks, Delta Lake, SQL, Python, and PySpark.The candidate will be responsible for developing scalable and reliable data pipelines, implementing data quality and reconciliation processes, supporting production workloads, and contributing to cloud-based data engineering solutions. The role also requires an understanding of DevOps, CI/CD, data governance, metadata management, and security fundamentals.The ideal candidate should be able to understand business requirements, translate them intoeffective data solutions, and work closely with business and technical stakeholders. Exposureto Databricks Genie Spaces, AI agents, and operational bots is highly desirable as part of ourevolving Data & AI engineering landscape.

Requirements

• Design, develop, and maintain scalable data pipelines and ETL/ELT solutions using Databricks, Delta Lake, SQL, Python, and PySpark.
• Implement Bronze, Silver, and Gold data processing, including batch, incremental, and metadata-driven data transformations.
• Develop and optimize Databricks workflows and orchestration, including scheduling, dependencies, retries, error handling, and logging.
• Implement data quality, validation, reconciliation, and completeness checks across source, transformation, and target layers.
• Provide production support and troubleshooting for data pipelines and Databricks workloads, including monitoring, root-cause analysis, incident resolution, and preventive actions.
• Optimize Spark jobs, SQL queries, Delta tables, and data workloads for performance, scalability, reliability, and cost efficiency.
• Apply cloud security and access-control practices, including RBAC, identities/service principals, secrets, encryption, and environment-level controls.
• Develop and maintain DevOps and CI/CD processes covering source control, code reviews, testing, automated deployment, and promotion across environments.
• Follow data governance and metadata standards, including lineage, cataloging, data classification, documentation, ownership, and stewardship.
• Leverage Databricks Genie Spaces, AI agents, and operational bots for governed data self-service and automation of engineering, monitoring, validation, and support activities.
• Understand business processes, data flows, KPIs, and domain requirements and translate them into reliable, scalable data solutions.
• Openness and willingness to work night shifts is mandatory.

Primary Technology

Databricks,Python,SQL / PL SQL,PySpark,,,

We are looking for a Senior Data Engineer to design, develop, and optimize scalable, reliable, and secure data platforms and pipelines. The role requires strong expertise in modern data engineering, cloud data platforms, data architecture, data modeling, and database technologies, with the ability to translate business requirements into high-quality, production-ready data solutions. The candidate will work closely with cross-functional teams to build and evolve data products, optimize performance and cost, ensure data quality and governance, and contribute to engineering standards and best practices across the organization.

Responsibilities

• Design, develop, and maintain end-to-end data pipelines, data platforms, and integration solutions across batch and streaming workloads.
• Translate business, functional, and technical requirements into maintainable, production-ready data solutions.
• Build data flows across structured, semi-structured, and unstructured sources using appropriate ingestion and integration patterns.
• Develop data transformation and processing workflows to support large data volumes and evolving business requirements.
• Implement data quality, validation, reconciliation, testing, and observability practices across data pipelines.
• Optimize data pipelines and processing workloads for performance, scalability, and cost efficiency.
• Implement security, privacy, access control, and data governance throughout the data lifecycle.
• Monitor pipelines and platform components, troubleshoot failures, perform root-cause analysis, and implement corrective actions.
• Collaborate with architects, stakeholders, application teams, and QA/UAT teams to deliver solutions aligned with business objectives.
• Contribute to CI/CD, automation, reusable frameworks, development standards, mentoring, and continuous improvement initiatives.

Role Requirements

• Strong proficiency in SQL, including complex queries, analytical functions, stored procedures, and performance optimization.
• Strong understanding and hands-on experience with modern data architecture, including Data Lake, Lakehouse, Cloud Data Warehouse, Medallion Architecture, and ELT patterns.
• Strong understanding of data warehousing and data modeling, including dimensional modeling, fact/dimension design, and Slowly Changing Dimensions (SCD).
• Hands-on experience with cloud data platforms and modern data engineering technologies.
• Experience working with relational and non-relational databases, data ingestion, and streaming technologies.
• Understanding of data quality, governance, security, and observability practices.
• Proficiency in Python, Shell, PowerShell, or equivalent scripting and automation technologies.
• Experience with Git, CI/CD, and Agile delivery practices.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to independently diagnose and resolve complex technical issues.
• Excellent communication, documentation, collaboration, and stakeholder management skills, with a strong sense of ownership and accountability.

Open Roles

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Our open roles are updated in real time by our internal team. Every position is an active hire — no ghost listings, no speculative pipelines.

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