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Time Series Data Jobs

3 jobs found

23d ago

Data Engineer

Asylon Norristown, PA

Norristown, PA

23d ago

$120k - $160k/yr Full time Python Azure Azure Data Lake Storage

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Job Description

Asylon offers an onsite Data Engineer role in Norristown, PA with a competitive annual salary of $120,000 to $160,000. You will architect, build, and maintain real-time data streams from a fleet of robots, managing video, telemetry, and sensor data to enable low-latency monitoring, debugging, and ML model training. The position provides a comprehensive benefits package, including 401(k), health insurance, dental insurance, vision insurance, and paid time off.

Technologies you’ll work with include Python, Azure Data Lake, and Kubernetes.

Responsibilities

Design and optimize high-throughput, low-latency data pipelines using cloud (Azure) and on-prem services, specialized for streaming and time-series data.
Ingest and process data from robot telemetry (position, velocity, battery life, etc.).
Develop solutions for efficient ingestion, storage, and retrieval of high-resolution video and LiDAR point cloud data.
Facilitate efficient data access for R&D teams.
Collaborate with software engineers to define data formats and communication protocols for transmission from the robot to the cloud.
Implement mechanisms to handle intermittent connectivity and ensure data completeness.

Requirements

5 years of experience as a Data Engineer in Robotics, IoT, or Autonomous Systems domain (Required).
Minimum of 3 years of hands-on experience in a Data Engineering role with a focus on real-time or streaming data.
Experience with data storage services, including cloud-based (such as Azure Data Lake) and self-hosted solutions.
Expert-level proficiency in Python and data query languages.
Experience with streaming data processing frameworks.
Experience with time-series databases.

Technologies

Python
Azure Data Lake
Kubernetes

Benefits

401(k)
Dental insurance
Health insurance
Paid time off
Vision insurance

Job Details

Location: Onsite in Norristown, PA
Schedule: Monday to Friday, weekends as needed
Salary: $120,000 - $160,000 per year
Job Type: Full-time

Application Questions

Are you a U.S. Person as defined by 22 C.F.R. §120.62, including U.S. Citizens, lawful permanent residents, refugees, or asylees? (Yes or No)

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1mo ago

Sr. AI & Data Engineer–Trading Analytics

Shell Houston, TX

Houston, TX

1mo ago Closed

$149k - $223k/yr Full time Senior Ai Ml Analytics

This position is no longer accepting applications (closed Jul 11, 2026).

Job Description

Shell offers a competitive compensation package for a Senior AI and Data Engineer in Trading Analytics, based in Houston with a hybrid work arrangement. The role carries a salary range of USD 149,000 to 223,000 per year. You will collaborate with traders and analysts to design AI driven front office analytics and GenAI/agentic solutions for trading, backed by a comprehensive benefits program designed to support your wellbeing and growth.

Benefits

Medical coverage
Dental coverage
Vision coverage
Life Insurance
Business Travel Accident Insurance
Occupational Accidental Death Benefit
Company pension plan
401(k) plan
Paid vacation time (up to 6 weeks)
Paid holidays (up to 11)
Parental leave (16 weeks birthing; 8 weeks non-birthing)
Short-term disability leave (up to 26 weeks at 100% or 50%)
Long-Term Disability insurance
Financial reimbursement for adoption, wellness, education, and personal learning expenses
Discretionary long-term incentives

Responsibilities

Design and deliver AI driven analytics for traders and analysts, including seasonality analysis, correlations, regression models, forecasting, and scenario modelling over market pricing and fundamentals data
Collaborate with traders and analysts to translate ambiguous business questions into clear analytical problems and practical solutions
Communicate analytical outputs and AI generated insights to commercial stakeholders in a concise, actionable manner
Build and maintain scalable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog
Support ingestion, modelling, and transformation of large scale time series pricing and fundamentals datasets
Optimize pipelines for performance, reliability, and cost efficiency, following platform and data governance standards
Build and enhance GenAI and agent based solutions to support trading analytics, including Retrieval Augmented Generation, prompt engineering, agent orchestration using LangGraph, tool calling and guardrails
Integrate LLM based workflows with structured trading and market data to augment analysis, insight generation, and decision support
Prototype solutions quickly, gather user feedback, and help harden selected use cases for production deployment
Contribute to production ready analytics and AI solutions with testing, documentation, versioning, and basic observability
Follow established CI/CD and DevOps practices, including use of Git based workflows and automated testing
Support governance requirements such as PII handling, data lineage, and auditability in line with Trading & Supply standards

Requirements

Must be legally authorized to work in the United States on a full-time basis for any employer (no Shell sponsorship required)
Bachelor’s degree or equivalent relevant years of experience
At least 10 years of relevant experience
Hands on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable)
Proven data engineering skills, including pipeline development, data modelling, and performance optimization
Solid foundation in statistics, econometrics, or data science, with applying these techniques to time-series or market style datasets
Practical experience building or contributing to LLM based solutions, including prompt engineering and retrieval based approaches
Familiarity with GenAI frameworks and tooling (e.g., LangGraph or similar orchestration patterns)
Experience working in collaborative engineering teams using Git and CI/CD pipelines
Strong communication skills and the ability to work directly with analysts, traders, and other business stakeholders

Technologies

Databricks
PySpark
Spark
SQL
Delta Lake
Unity Catalog
LangGraph

Additional preferred qualifications

Exposure to commodity or financial trading environments
Understanding of market fundamentals, supply demand dynamics, or risk concepts
Experience with MLflow, feature stores, or vector databases
Familiarity with regulated or risk sensitive environments

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1mo ago

Sr. AI & Data Engineer–Trading Analytics

Shell Energy Houston, TX

Houston, TX

1mo ago Closed

$149k - $223k/yr Full time Ai Ml Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jul 11, 2026).

Job Description

Shell Energy seeks a senior AI and data engineer to design and productionize AI powered analytics for front office trading in Houston, blending Databricks data engineering with GenAI workflows.

RESPONSIBILITIES

Develop AI driven analytics for traders and analysts, including seasonal analyses, correlations, regressions, forecasts, and scenario modelling over pricing and fundamentals data
Collaborate with traders and analysts to translate vague business questions into clear analytical problems and practical solutions
Present analytical outputs and AI generated insights to commercial stakeholders in an actionable format
Build and maintain scalable, reusable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog
Ingest, model, and transform large scale time series pricing and fundamentals datasets
Improve pipeline performance, reliability, and cost efficiency while adhering to platform and data governance standards
Develop GenAI and agent based solutions to support trading analytics, including RAG, prompt engineering, and agent orchestration with LangGraph
Implement tool calling and guardrails within AI workflows and integrate LLM based processes with structured market data
Prototype solutions quickly, collect user feedback, and harden selected use cases for production deployment
Contribute to production ready analytics and AI solutions with testing, documentation, versioning, and basic observability
Follow CI/CD and DevOps practices with Git based workflows and automated testing
Support governance requirements such as PII handling, data lineage, and auditability in line with Trading & Supply standards

REQUIREMENTS

Authorized to work in the United States on a full-time basis without employer sponsorship
Bachelor’s degree or equivalent relevant years of experience
Minimum 10 years of relevant experience
Hands on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable)
Proven data engineering skills including pipeline development, data modelling, and performance optimization
Solid foundation in statistics, econometrics, or data science with application to time-series or market style datasets
Practical experience building or contributing to LLM based solutions, including prompt engineering and retrieval based approaches
Familiarity with GenAI frameworks and tooling (for example LangGraph or similar orchestration patterns)
Experience working in collaborative engineering teams using Git and CI/CD pipelines
Strong communication skills and ability to work directly with analysts, traders, and business stakeholders
Exposure to commodity or financial trading environments
Understanding of market fundamentals, supply-demand dynamics, or risk concepts
Experience with MLflow, feature stores, or vector databases
Familiarity with working in regulated or risk sensitive environments

TECHNOLOGIES

Databricks
PySpark
Spark
SQL
Delta Lake
Unity Catalog
LangGraph
Git
CI/CD
MLflow

BENEFITS

Health insurance: medical, dental, and vision coverage
Life Insurance
Business Travel Accident Insurance
Occupational Accidental Death Benefit programs
Pension plan
401(k) plan
Paid leave: up to 6 weeks of paid vacation and up to 11 paid holidays
Parental leave: 16 weeks for birthing parents, 8 weeks for non-birthing parents
Short-term disability leave up to 26 weeks at 100% or 50% of base pay
Long-Term Disability insurance
Financial reimbursement for adoption, wellness, education, and personal learning expenses
Discretionary long-term incentives
Intern benefits include medical, dental, and vision coverage, life insurance, BTA, Occupational Accidental Death Benefit programs; 401(k) plan; and paid leave for up to 11 holidays
Flexible working hours and the possibility of remote/mobile working

WHAT WE OFFER

Salary range: USD 149,000 - 223,000 per year
Insurance coverage options: medical, dental, vision, life Insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs
Pension plan and 401(k) plan availability
Paid leave: up to 6 weeks of paid vacation, up to 11 holidays; parental leave of 16 weeks for birthing parents and 8 weeks for non-birthing parents
Short-term disability up to 26 weeks at 100% or 50% of base pay, plus Long-Term Disability insurance
Financial reimbursement for adoption, wellness, education, and personal learning expenses
Discretionary long-term incentives
Flexible working hours and potential for remote/mobile work
Intern benefits include eligible coverage and 401(k) participation; up to 11 paid holidays

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Time Series Data Jobs

Data Engineer

Sr. AI & Data Engineer–Trading Analytics

Sr. AI & Data Engineer–Trading Analytics

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