Top 141 Senior lead software engineer big data python /java , databricks Jobs in Spring Tx

Data Engineer, Forward Deployed
Applied Computing —Houston, TX
- Hybrid work
- Senior level
- Python
ML Engineer (Forward Deployed)
Applied Computing —Houston, TX
- Hybrid work
- Computer science
- Computer Science
- SQL
Lead Software Engineer- Java /Python / Data
JPMorganChase —Houston, TX
- Full-time
- 5 years
- System design
- Java
- Health insurance
- Tuition reimbursement
5d
Cloud & Data Senior Architect
Targa Resources —Houston, TX
- 7 years
- Computer Science
- System design
Sr. Data Engineer
mBridge Solutions —Houston, TX
- Contract
- Senior level
- Leadership
- 10 years
Lead Software Engineer - Java/Python, SQL, Databricks
JPMorganChase —Houston, TX
- Full-time
- 5 years
- System design
- Java
- Health insurance
- Tuition reimbursement
Senior Data Engineer
Quanex —Houston, TX
- $120,000 - $140,000 a year
- Call employer
- Computer Science
- 5 years
- Office
- Paid training
- Employee stock purchase plan
Data Engineer
sierra digital —Houston, TX
- Computer Science
- System design
- Mid-level
- Paid holidays
- Health insurance
Data Engineer
Fervo Energy —Houston, TX
- $103,000 - $170,000 a year
- Full-time
- Hybrid work
- Computer Science
- Office
- Master's degree
- Paid parental leave
- Disability insurance
Quick Apply
Data Engineer
Rysun Labs Inc —Houston, TX
- $60 an hour
- Full-time
- Mid-level
- SQL
- Analysis skills
- Health insurance
- Dental insurance
Quick Apply
Lead Software Engineer- Data Engineer, PySpark, Databricks
JPMorganChase —Houston, TX
- Full-time
- Azure
- 5 years
- System design
- Health insurance
- Tuition reimbursement
Software Engineer III- Java/Python, SQL, Databricks
JPMorganChase —Houston, TX
- Full-time
- System design
- Office
- 3 years
- Health insurance
- Tuition reimbursement
3d
Performance Power Analyst
TotalEnergies —Houston, TX
- 5 years
- Finance
- SQL
Azure Data Engineer
CEDENT —Houston, TX
- Azure
- 5 years
- English
Data Engineer 1
Beusa Energy, LLC —The Woodlands, TX
- Full-time
- Background check
- 18 years or older
- Computer science
Digital Business Engineer
TotalEnergies —Houston, TX
- Computer science
- Computer Science
- English
Data Platform & Engineering Senior Manager
Targa Resources —Houston, TX
- Computer Science
- System design
- 11+ years
9h
Entry-Level Software Engineer
Pariveda —Houston, TX
- $79,800 - $91,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
- Paid parental leave
- Health savings account
Data Engineer III
Beusa Energy, LLC —The Woodlands, TX
- Full-time
- Background check
- Computer science
- 7 years
Senior Data Analyst
Carbo Ceramics, LLC —Houston, TX
- Computer Science
- 5 years
- Office
- Health savings account
- Paid holidays
Quick Apply
3d

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senior lead software engineer big data python /java , databricks jobs near spring tx

Data Engineer, Forward Deployed

Applied Computing -
Houston, TX

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Job Details

Qualifications

Index optimization
AWS IAM
Cloud identity and access management (IAM)
Cloud analytics services
Databricks
Data Integration (Data management)
Kubernetes
Spark
Data retrieval time improvement
Scalable systems
PostgreSQL
Supervisory control and data acquisition (SCADA)
Scalability
S3
Amazon CloudWatch
Storage management (system administration)
Query management
Python
Amazon EKS

Full Job Description

Applied Computing was founded in 2024 to build Orbital, a physics-informed foundation model for energy operations. We’re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable
abundance for a growing planet.

The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data. We built Orbital to change that. It’s a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational
data and optimising in real time for any metric. Decisions get faster, operations get safer, and carbon intensity falls.

We’ve raised over $32 million, including one of the largest seed rounds for an
AI company in the UK. We’re just getting started

The Role

As our Data Engineer, you’ll architect and maintain pipelines that make high-frequency time-series, lab, and historian data into a scalable Lakehouse architecture, usable for both deep learning models and real-time LLMs. You’ll be working across AWS (EKS, S3, EBS, KMS, CloudWatch) and Databricks/PySpark, ensuring data is contextualised, synchronised, and optimised for both deep learning models and real-time LLM workloads.

This isn’t a traditional ETL role, you’ll be solving problems at the intersection of control systems, industrial data engineering, and AI enablement.

Technical Requirements

Deep expertise in PostgreSQL (partitioning, indexing, query optimisation, storage design).
Strong proficiency in Python for data processing, scripting, and pipeline orchestration.
Hands-on experience with AWS (EKS, S3, EBS, IAM, KMS, CloudWatch, etc.)for secure and scalable data pipelines.
Proven ability to work with Databricks and PySpark for large-scale distributed data processing.
Familiarity with time-series industrial data (control systems, DCS/SCADA logs, process historians).
Experience in unstructured data sync and management within hybrid cloud/on-prem environments.
Bonus: Experience working as a data engineer in oil and gas or energy environments
Bonus: Knowledge of streaming frameworks (Kafka, Flink, Spark Streaming) or MLOps stacks for data versioning and lineage.

Core Responsibilities

1. Ingest & Contextualise Data

Ingest from OPC UA servers, process historians, IoT sensors, LIMS systems, alarms/events, and P&IDs.
Map signals to their physical processes (tags, units, hierarchies) for interpretability in AI pipelines.

2. Data Movement & Accessibility

Build pipelines that handle real-time streaming and batch ingestion into the Lakehouse.
Manage synchronisation between historian archives, unstructured files, and AWS storage (S3/EBS).
Orchestrate Databricks Lakeflow/Connectors for integrating data into Lakebase/Lakehouse.
Handle secure, high-throughput transfers between historian archives and sandbox/live environments.

3. Change Tracking & Integrity

Detect and manage schema changes, signal drift, and inconsistencies acrosstime.
Implement lineage and audit trails across Spark/Databricks and AWS pipelines.

4. Data Preparation for AI

Build and maintaindual pipelines:
- Training large-scale historical data prep for time-series + LLM training.
- Inference low-latency, real-time pipelines for anomaly detection, optimisation, and LLM search.
Support heterogeneous AI workloads (time-series forecasting and retrieval-augmented LLMs).

5. Database Performance & Optimisation

Tune PostgreSQLand sparkfor high-throughput time-series workloads (partitioning, indexing, query optimisation).
Optimise pipelines for both fast analytical queries and high-efficiency model training.
Deploy and manage data pipelines in AWS EKS (Kubernetes) with persisten tEBS-backed storage.

What Success Looks Like

Live data streams are contextualised,queryable, and AI-ready.
Schema changes and signal drift are detected and handled without breaking downstream workflows.
Training and inference pipelines run smoothly in parallel, optimised for scale and latency.

Apply Now

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senior lead software engineer big data python /java , databricks jobs in spring tx

Data Engineer, Forward Deployed

ML Engineer (Forward Deployed)

Lead Software Engineer- Java /Python / Data

Cloud & Data Senior Architect

Sr. Data Engineer

Lead Software Engineer - Java/Python, SQL, Databricks

Senior Data Engineer

Data Engineer

Data Engineer

Data Engineer

Lead Software Engineer- Data Engineer, PySpark, Databricks

Software Engineer III- Java/Python, SQL, Databricks

Performance Power Analyst

Azure Data Engineer

Data Engineer 1

Digital Business Engineer

Data Platform & Engineering Senior Manager

Entry-Level Software Engineer

Data Engineer III

Senior Data Analyst

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