Energy Jobline ZR
Customer Technical Support Specialist in New York
Energy Jobline ZR, New York, New York, us, 10261
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob DescriptionAbout us
At RavenPack, we are at the forefront of developing the next of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata, our Gen-AI platform tailored for finance, which is already being recognized as the #1 platform for powering financial AI agents. About the Role
We are seeking a highly motivated
Customer Technical Support Specialist
with hands-on experience in supporting data and AI-powered platforms. The ideal candidate will have a strong background in Python, SQL, Snowflake, and Jupyter notebooks, along with exposure to large models (LLMs). You will act as a trusted technical partner for our customers, troubleshooting complex issues, guiding best practices, and collaborating with internal teams to deliver high-quality solutions.
Key Responsibilities
Provide
tier 1/2 technical support
for customers working with Python, SQL, Snowflake, and LLM-based solutions.
Diagnose and resolve technical issues involving
data pipelines, APIs, model integrations, and notebook environments .
Collaborate closely with engineering, product, and data science teams to escalate and resolve complex issues.
Write and maintain
knowledge base articles, technical documentation, and troubleshooting guides .
Assist customers in writing and optimizing
Python scripts, SQL queries, and Jupyter workflows .
Support deployment, integration, and troubleshooting of
LLM and machine learning workflows .
Provide actionable feedback to engineering and product teams on
feature requests and recurring issues .
Required Qualifications
Experience in technical support, solutions engineering, or a related customer-facing technical role.
Strong proficiency with
Python
for scripting and troubleshooting.
Hands-on experience with
SQL
(query design, debugging, performance optimization).Working knowledge of
Snowflake
(data modeling, query optimization, access control).
Proficiency in
Jupyter Notebooks
for testing and analysis.
Familiarity with
LLMs (Large Models)
and their integration in real-world workflows.
Strong analytical and problem-solving skills with the ability to translate technical concepts for varied audiences.
Excellent communication skills, both written and verbal.
Qualifications
Experience supporting
cloud platforms
(AWS, Azure, or GCP).
Understanding of APIs, REST/GraphQL, and integrating ML models into production systems.
Background in
data engineering or data science workflows .
Exposure to
DevOps practices or CI/CD pipelines .
Why Join Us?
Work directly with cutting-edge technologies in
AI and cloud data platforms .
Collaborate with
data scientists, ML engineers, and product teams .
Contribute to shaping
scalable and innovative support solutions
without on-call requirements.
What's in it for You?
Growth Opportunity : Join a rapidly growing company with 180+ team members with offices in New York, Madrid, and Marbella, building AI that truly matters for business and finance.
International Culture : Be part of a diverse, global organization with a truly international culture.
Team of Superstars : Work alongside a talented team of professionals, including Silicon Valley executives and Wall Street veterans.
Work-Life Balance : Enjoy paid vacation, flexible time-off, and a flexible work policy.
Benefits : Access to healthcare insurance and a 401K plan.
Hybrid work arrangement
Equal Opportunity Employer : We value and do not discriminate based on , , , , , , , marital status, veteran status, or status.
We are an equal opportunity employer and value at our company. We do not discriminate on the basis of , , , , , , , marital status, veteran status, or status.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob DescriptionAbout us
At RavenPack, we are at the forefront of developing the next of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata, our Gen-AI platform tailored for finance, which is already being recognized as the #1 platform for powering financial AI agents. About the Role
We are seeking a highly motivated
Customer Technical Support Specialist
with hands-on experience in supporting data and AI-powered platforms. The ideal candidate will have a strong background in Python, SQL, Snowflake, and Jupyter notebooks, along with exposure to large models (LLMs). You will act as a trusted technical partner for our customers, troubleshooting complex issues, guiding best practices, and collaborating with internal teams to deliver high-quality solutions.
Key Responsibilities
Provide
tier 1/2 technical support
for customers working with Python, SQL, Snowflake, and LLM-based solutions.
Diagnose and resolve technical issues involving
data pipelines, APIs, model integrations, and notebook environments .
Collaborate closely with engineering, product, and data science teams to escalate and resolve complex issues.
Write and maintain
knowledge base articles, technical documentation, and troubleshooting guides .
Assist customers in writing and optimizing
Python scripts, SQL queries, and Jupyter workflows .
Support deployment, integration, and troubleshooting of
LLM and machine learning workflows .
Provide actionable feedback to engineering and product teams on
feature requests and recurring issues .
Required Qualifications
Experience in technical support, solutions engineering, or a related customer-facing technical role.
Strong proficiency with
Python
for scripting and troubleshooting.
Hands-on experience with
SQL
(query design, debugging, performance optimization).Working knowledge of
Snowflake
(data modeling, query optimization, access control).
Proficiency in
Jupyter Notebooks
for testing and analysis.
Familiarity with
LLMs (Large Models)
and their integration in real-world workflows.
Strong analytical and problem-solving skills with the ability to translate technical concepts for varied audiences.
Excellent communication skills, both written and verbal.
Qualifications
Experience supporting
cloud platforms
(AWS, Azure, or GCP).
Understanding of APIs, REST/GraphQL, and integrating ML models into production systems.
Background in
data engineering or data science workflows .
Exposure to
DevOps practices or CI/CD pipelines .
Why Join Us?
Work directly with cutting-edge technologies in
AI and cloud data platforms .
Collaborate with
data scientists, ML engineers, and product teams .
Contribute to shaping
scalable and innovative support solutions
without on-call requirements.
What's in it for You?
Growth Opportunity : Join a rapidly growing company with 180+ team members with offices in New York, Madrid, and Marbella, building AI that truly matters for business and finance.
International Culture : Be part of a diverse, global organization with a truly international culture.
Team of Superstars : Work alongside a talented team of professionals, including Silicon Valley executives and Wall Street veterans.
Work-Life Balance : Enjoy paid vacation, flexible time-off, and a flexible work policy.
Benefits : Access to healthcare insurance and a 401K plan.
Hybrid work arrangement
Equal Opportunity Employer : We value and do not discriminate based on , , , , , , , marital status, veteran status, or status.
We are an equal opportunity employer and value at our company. We do not discriminate on the basis of , , , , , , , marital status, veteran status, or status.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.