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databricks data engineer

Derex Technologies inc

<div><b>Company Description</b><p><br>
Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America.</p><p>
With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies.</p><b><br>
Job Description</b><p><b><br>
Role: Databricks Data Engineer</b></p><p><b>
Location: NJ/ PA onsite
</b></p><p><b>About the job</b></p><p>
We are seeking a Databricks Data Engineer with experience in designing and developing data pipelines using Azure Databricks, Data Factory, and Datalake. The role involves managing large volumes of data, building complex ETL solutions, and working closely with business teams to deliver robust data transformations and analytics solutions.</p><p></p><p><b><br>
Responsibilities:</b></p><ul><li>
Design and develop ETL pipelines using ADF for data ingestion and transformation.</li><li>
Collaborate with Azure stack modules like Data Lakes and SQL DW to build robust data solutions.</li><li>
Write SQL, Python, and PySpark code for efficient data processing and transformation.</li><li>
Understand and translate business requirements into technical designs.</li><li>
Develop mapping documents and transformation rules as per project scope.</li><li>
Communicate project status with stakeholders, ensuring smooth project execution.</li></ul><p><b>
Requirements Must have:</b></p><ul><li>
10-12 years of experience in data ingestion, data processing, and analytical pipelines for big data and relational databases.</li><li>
Hands-on experience with Azure services: ADLS, Azure Databricks, Data Factory, Synapse, Azure SQL DB.</li><li>
Experience in SQL, Python, and PySpark for data transformation and processing.</li><li>
Familiarity with DevOps and CI/CD deployments.</li><li>
Strong communication skills and attention to detail in high-pressure situations.</li><li>
Experience in the insurance or financial industry is preferred.</li></ul><p></p><p><b><br>
Regards,</b></p><p></p><p><b><br>
Manoj</b></p><p><b>
Derex Technologies INC</b></p><p><b>
Contact : </b><b>973-834-5005 </b><b>Ext 206</b></p><b><br>
Additional Information</b><p><br>
All your information will be kept confidential according to EEO guidelines.</p></div>

Databricks Data Engineer

Tiger Analytics

<div><p>Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.</p><p>
We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.</p><b><br>
Requirements</b><p><b><br>
Key Responsibilities</b></p><ul><li>
Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.</li><li>
Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases.</li><li>
Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.</li><li>
Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets.</li><li>
Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems.</li><li>
Lead the migration of legacy data systems to modern cloud-based data architectures.</li><li>
Develop and maintain CI/CD pipelines for data workflows and platform automation.</li><li>
Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications.</li><li>
Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices.</li></ul><p><b>
Required Skills</b></p><ul><li>
8+ years experience as a Data Engineer working with AWS cloud services.</li><li>
Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools.</li><li>
Experience building data pipelines using Databricks, Apache Spark, and SQL.</li><li>
Experience with Apache Airflow for workflow orchestration.</li><li>
Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks.</li><li>
Experience with CI/CD pipelines and version control systems (Git).</li><li>
Exposure to Generative AI or LLM-based applications.</li><li>
Experience supporting data pipelines for AI/ML workloads.</li><li>
Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.</li><li>
Experience working with LLM APIs or AI frameworks such as LangChain.</li><li>
Understanding of MLOps workflows and model deployment pipelines.</li></ul><br>
<b>
Benefits</b><p><br>
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.</p><p></p><p><b><i>
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.</i></b></p></div><p></p>

Senior Data Engineer

Realign

<div>Jersey City, New Jersey 07030 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role: Python\PySpark Engineer</b></div><div><b>
Location: Jersey City, NJ</b></div><div><b>
FTE only</b></div><div></div><div><b><br>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div></div><div><b><br>
Technical Skills</b></div><ul><div>
Strong proficiency in Python, packaging, dependency management, and virtual environments.</div><div>
Hands-on experience with PySpark, including Spark performance tuning (partitioning, caching, broadcast joins, memory optimization).</div><div>
Expertise in data ingestion (batch/stream), schema management, and robust error-handling/retry logic.</div><div>
Solid unit and integration testing practices, including data quality validations.</div><div>
Experience with CI/CD pipelines (Azure DevOps/Jenkins), Git branching strategies, and artifact versioning.</div><div>
Working experience with Cloudera/Hadoop (HDFS, Spark, Hive/Impala) and Databricks (Delta Lake, clusters, jobs, notebooks).</div><div>
Knowledge of observability techniques: structured logging, metrics, tracing, and debugging in distributed systems.</div><div>
Secure coding practices including secrets management, PII protection, and compliance-aware development.</div></ul><div><b>
Functional Skills</b></div><ul><div>
Strong documentation discipline for frameworks, reusable components, and best-practice patterns.</div><div>
Effective collaboration with Cloud Architects and Data Ops to ensure stable and supportable pipelines.</div><div>
Clear communication of technical ideas and solution approaches.</div><div>
Comfort working in Agile environments with iterative development and frequent releases.</div></ul><div><b>
Roles &amp; Responsibilities</b></div><ul><div>
Design and develop scalable Python/PySpark ingestion and transformation pipelines.</div><div>
Implement schema evolution logic, validation frameworks, and resilient error-handling mechanisms.</div><div>
Optimize Spark jobs for performance, cost efficiency, and production readiness.</div><div>
Integrate all jobs into automated CI/CD pipelines, ensuring versioning and release governance.</div><div>
Work closely with Ops teams to ensure proper monitoring, logging, and operational supportability.</div><div>
Participate in Agile ceremonies, sprint planning, code reviews, and demo sessions</div></ul><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

PythonPySpark Engineer-6

<div>Jersey City, New Jersey 07030 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role: Hadoop PySpark, Python, Apache Kafka</b></div><div><b>
Location: Charlotte, NC / New York, NY/ Dallas, TX / Jersey City, NJ</b></div><div><b>
FTE only</b></div><div></div><div><b><br>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div></div><div><b><br>
Primary Skill: Hadoop ecosystem (HDFS, Hive, Spark), PySpark, Python, Apache Kafka</b></div><div><b>
Secondary: UI &ndash; Angular.</b></div><div><b>
Experience: Minimum 9 years</b></div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div></div><div><b><br>
Architectural Leadership:</b></div><div>
? Define end-to-end architecture for data platforms, streaming systems, and web applications.</div><div>
? Ensure alignment with enterprise standards, security, and compliance requirements.</div><div>
? Evaluate emerging technologies and recommend adoption strategies.</div><div></div><div><b><br>
Data Engineering :</b></div><div>
? Design and implement data ingestion, transformation, and processing pipelines using Hadoop, PySpark, and related tools.</div><div>
? Optimize ETL workflows for large-scale datasets and real-time streaming.</div><div>
? Integrate Apache Kafka for event-driven architectures and messaging.</div><div></div><div><b><br>
Application Development :</b></div><div>
? Build and maintain backend services using Python and microservices architecture.</div><div>
? Develop responsive, dynamic front-end applications using Angular.</div><div>
? Implement RESTful APIs and ensure seamless integration between components.</div><div></div><div><b><br>
Collaboration &amp; Leadership:</b></div><div>
? Work closely with product owners, business analysts, and DevOps teams.</div><div>
? Mentor junior developers and data engineers.</div><div>
? Participate in agile ceremonies, code reviews, and design discussions.</div><div></div><div><b><br>
Required Skills &amp; Qualifications:</b></div><div></div><div><b><br>
Technical Expertise:</b></div><div>
? Strong experience with Hadoop ecosystem (HDFS, Hive, Spark).</div><div>
? Proficiency in PySpark for distributed data processing.</div><div>
? Advanced programming skills in Python.</div><div>
? Hands-on experience with Apache Kafka for real-time streaming.</div><div>
? Frontend development using Angular (TypeScript, HTML, CSS).</div><div></div><div><b><br>
Architectural Skills:</b></div><div>
? Expertise in designing scalable, secure, and high-performance systems.</div><div>
? Familiarity with microservices, API design, and cloud-native architectures.</div><div></div><div><b><br>
Additional Skills:</b></div><div>
? Knowledge of CI/CD pipelines, containerization (Docker/Kubernetes).</div><div>
? Exposure to cloud platforms (AWS, Azure, GCP).</div><div></div><div><b><br>
Education:</b></div><div>
? Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</div><div></div><div><b><br>
Experience:</b></div><div>
? 9+ years in software development, with at least 4 + years in architecture and Big Data technologies.</div><div></div><div><b><br>
Preferred Qualifications:</b></div><div>
? BFSI domain experience or large-scale enterprise systems.</div><div>
? Understanding of data governance, security, and compliance standards.</div><div></div><div><b><br>
Soft Skills:</b></div><div>
? Strong analytical and problem-solving abilities.</div><div>
? Excellent communication and leadership skills.</div><p>
? Ability to thrive in a fast-paced, agile environment.</p><p></p>
<p>Required Skills</p>
<p>DATA / PYTHON ENGINEER</p> <p>PYTHON / DEVOPS ENGINEER</p></div>

Hadoop PySpark, Python, Apache Kafka-6

<div>Jersey City, New Jersey 07030 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role: Python Engineer &ndash; Agentic AI &amp; MCP Orchestration</b></div><div><b>
Location: </b><b>Jersey City, NJ/ Pennington, NJ</b></div><div><b>
FTE only</b></div><div></div><div><b><br>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div></div><div><b><br>
Technical Skills</b></div><ul><li>Strong hands-on experience in Python for building production-grade applications.</li><li>Experience developing agentic AI applications (multi-agent workflows, tool-using agents, autonomous task execution).</li><li>Expertise with AI orchestration frameworks (agents, tools, planners, workflow controllers).</li><li>Practical experience setting up and configuring Model Context Protocol (MCP) servers.</li><li>Ability to implement and integrate MCP Clients with external systems and AI models.</li><li>Proficiency working with LLMs, prompt engineering patterns, and structured output handling.</li><li>Experience with API integration, event-driven interactions, and tool/skill registration for agents.</li><li>Strong understanding of asynchronous Python (asyncio, concurrency patterns).</li><li>Familiarity with vector stores, embeddings, RAG pipelines, and memory architectures (nice to have).</li><li>Experience working with CI/CD, Git, testing frameworks (pytest), and secure coding practices.</li></ul><div></div><div><b><br>
Functional Skills</b></div><ul><li>Ability to translate business problems into agent-driven automation workflows.</li><li>Strong debugging and troubleshooting of distributed agent behavior and orchestration flows.</li><li>Familiarity with governance, model safety constraints, and responsible AI usage patterns.</li><li>Strong documentation habits for API schemas, MCP interface definitions, and agent lifecycle behavior.</li><li>Effective communication with architects, product teams, and business stakeholders.</li><li>Comfort working in Agile environments with rapid experimentation and iteration.</li></ul><div></div><div><b><br>
Roles Responsibilities</b></div><div>
Design and develop Python-based agentic applications capable of orchestrating autonomous and semi-autonomous workflows.</div><ul><li>Build, configure, and maintain MCP servers to expose tools, data sources, or domain capabilities to LLM agents.</li><li>Implement and configure MCP clients to interact with multiple MCP tools, AI models, and external systems.</li><li>Develop orchestration logic to coordinate multi-agent behaviors, tool execution, validations, and decision routing.</li><li>Integrate LLMs with internal systems using structured prompts, tool definitions, and safe execution patterns.</li><li>Optimize agent workflows for reliability, performance, security, and cost.</li><li>Create reusable frameworks for agent tools, context handling, memory, and reasoning cycles.</li><li>Collaborate with architecture, platform, and product teams to align on engineering best practices.</li><li>Implement observability: logging, tracing, and monitoring of agent reasoning steps and tool calls.</li><li>Document MCP schemas, agent behaviors, tool interfaces, and operability guidelines.</li></ul><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p> <p>SRE ENGINEER (SITE RELIABILITY/RESILIENCY)</p></div>

Python Engineer / Agentic AI & MCP Orchestration-6

SynergisticIT

<div>
 <p>
  <strong>
   "Applied Everywhere? Still No Offers? Let&rsquo;s Provide the solution.&rdquo;
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;ve sent out hundreds&mdash;maybe thousands&mdash;of applications and your inbox is still silent, it doesn&rsquo;t mean you&rsquo;re not capable. It usually means your profile isn&rsquo;t lining up with how companies filter, shortlist, and interview candidates right now. In today&rsquo;s market, employers expect more than a degree or a few tutorial projects. They want candidates who look
  <strong>
   job-ready on paper
  </strong>
  , sound
  <strong>
   confident in interviews
  </strong>
  , and demonstrate
  <strong>
   hands-on ability
  </strong>
  in the tools teams actually use. That&rsquo;s exactly what SynergisticIT solves&mdash;because the real challenge isn&rsquo;t learning in isolation. The real challenge is translating learning into
  <strong>
   interviews and offers
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  Since
  <strong>
   2010
  </strong>
  , SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands&mdash;think
  <strong>
   Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair
  </strong>
  , and many more&mdash;often in the
  <strong>
   $95k to $154k
  </strong>
  offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple:
  <strong>
   close the gap between what you know and what employers expect you to prove
  </strong>
  .
 </p>
 <p>
  Here&rsquo;s the truth employers hire based on whether you can handle real work&mdash;clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That&rsquo;s why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What roles are in demand right now?
  </strong>
 </p>
 <p>
  A lot of jobseekers assume they must become &ldquo;AI experts&rdquo; overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as
  <strong>
   entry-level software programmer
  </strong>
  ,
  <strong>
   Java full stack developer
  </strong>
  ,
  <strong>
   Python/Java developer
  </strong>
  ,
  <strong>
   data analyst
  </strong>
  ,
  <strong>
   data engineer
  </strong>
  ,
  <strong>
   data scientist
  </strong>
  , and
  <strong>
   machine learning/AI engineer
  </strong>
  . In other words, SynergisticIT focuses on building candidates across
  <strong>
   Java / Full Stack / DevOps
  </strong>
  and
  <strong>
   Data Analytics / Data Engineering / Data Science / ML/AI
  </strong>
  based on what employers repeatedly request.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who benefits most from this model?
  </strong>
 </p>
 <p>
  If you&rsquo;re applying and not seeing results, you&rsquo;re likely in one of these situations:
 </p>
 <ul>
  <li>
   You have skills, but your resume doesn&rsquo;t show impact and your projects look generic
  </li>
  <li>
   You know tools, but you can&rsquo;t explain them confidently in interviews
  </li>
  <li>
   You&rsquo;ve learned from courses, but you lack real-world structure and job alignment
  </li>
  <li>
   You&rsquo;ve built a portfolio, but it doesn&rsquo;t match what hiring managers evaluate
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    What Recruiters Look for in Junior Developers | SynergisticIT
   </strong>
  </li>
  <li>
   <strong>
    Software engineering or Data Science as a career?
   </strong>
  </li>
  <li>
   <strong>
    How OPT Students Can Land Tech Jobs &ndash; SynergisticIT
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  SynergisticIT works especially well for candidates such as: recent grads in
  <strong>
   CS/Engineering/Math/Stats
  </strong>
  , jobseekers who were
  <strong>
   laid off
  </strong>
  and need an updated stack, career switchers who want a guided plan, candidates with
  <strong>
   career gaps
  </strong>
  , people with &ldquo;learning but not hired&rdquo; bootcamp history, experienced professionals not landing interviews, and international candidates on
  <strong>
   F1/OPT
  </strong>
  needing a clear employment pathway. SynergisticIT also supports candidates with guidance around
  <strong>
   STEM extension
  </strong>
  and provides process support for
  <strong>
   H-1B and Green Card filing
  </strong>
  once employed (as applicable through employers and standard processes).
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you want to explore, here are the key links:
 </p>
 <ul>
  <li>
   <strong>
    Event videos (OCW, JavaOne, Gartner):
   </strong>
  </li>
  <li>
   <strong>
    USA Today feature
   </strong>
  </li>
  <li>
   <strong>
    Contact Us:
   </strong>
   https://www.synergisticit.com/contact-us/
  </li>
 </ul>
 <p>
  You don&rsquo;t need more random applications. You need a job-ready plan.
  <strong>
   Start smarter&mdash;start with the right support.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
   </em>
  </strong>
 </p>
 <p>
  <strong>
   <em>
    <u>
     Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don&rsquo;t want to be contacted please don&rsquo;t submit your resume.
    </u>
   </em>
  </strong>
 </p>
 <p>
 </p>
</div>


entry level data scientist/ Junior java developer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><b>Must Have Technical/Functional Skills</b></div><br>
<div><br>
</div><div>Primary Skill: Python
</div><div>Secondary: Oracle PL/SQL, ETL
</div><div>Experience: Minimum 7 years</div><br>
<div><br>
</div><div><b>Roles &amp; Responsibilities</b></div><br>
<div><br>
</div><div>Bachelor&rsquo;s or master&rsquo;s degree in computer science or related field.</div><br>
<div><br>
</div><ul><li>Good hands-on years of experience in designing, building, and maintaining robust data pipelines using Python and SQL.
</li></ul><ul><li>Expert in writing complex SQLs
</li></ul><ul><li>Develop reusable scripts for data extraction from various structured and semi-structured file formats.
</li></ul><ul><li>Write optimized and scalable queries to retrieve, clean, and transform data for analytics and reporting.
</li></ul><ul><li>Integrate data from different sources, including APIs and multiple databases.
</li></ul><ul><li>Work closely with analysts, data scientists, and business stakeholders to deliver clean, reliable datasets for analysis.
</li></ul><ul><li>Document data workflows and ensure best practices in coding and version control.
</li></ul><ul><li>Good to have experience on Paginated Reports and Power BI issues, Power BI Development, enhancement, and Migration.
</li></ul><ul><li>Core Python: Expert-level proficiency in writing efficient, modular, and production-grade Python code for data extraction, transformation, and loading (ETL) processes.
</li></ul><ul><li>SQL &amp; Databases: Highly skilled in writing complex SQL queries, stored procedures, and optimizing database interactions. Hands-on experience connecting Python scripts with various relational databases (e.g., PostgreSQL, MySQL, SQL Server).
</li></ul><ul><li>Data Source Integration: Extensive experience working with diverse file-based data sources such as CSV, JSON, and Excel, including parsing, transforming, and integrating them into ETL pipelines.
</li></ul><ul><li>API &amp; DB Connectivity: Exposure to consuming REST APIs for data ingestion and integrating multiple database sources in a unified workflow.</li></ul><br>
<div><br>
</div><div><b>Additional Skills:</b>
</div><ul><li>Familiarity with version control (Git), basic shell scripting, and working knowledge of data validation and performance tuning.
</li></ul><ul><li>PBI Skills: Desirable to have skills on Power BI Development, enhancement and Migration.
</li></ul><ul><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter.</li></ul><br>
<div><br>
</div><div><b>TCS Employee Benefits Summary:</b>
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>Salary Range: $95,000 - $125,000 a year
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Jersey City, NJ</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>401056</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python</div>
</div><div><div><b>Salary Range</b></div>
<div>$95,000-$125,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Data Engineer

Explore 64+ Databricks data engineer in Jersey City this March. Find roles across top companies and apply now to boost your career.