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Tech Data Jobs in New York (NOW HIRING)

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Conduct>It * Data Profiler and Continuous Flows * Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). * Advanced SQL skills with experience in ...

Showing results 41-60

Tech Data information

See New York salary details

$13

$24

$38

How much do tech data jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for tech data in New York is $24.99, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $29.71 per hour, depending on experience, location, and employer.

What is a Tech Data specialist?

A Tech Data specialist is a professional who manages, analyzes, and interprets technical data to support business operations, decision-making, and IT systems. Their responsibilities often include data collection, data quality assurance, reporting, and collaborating with other departments to ensure accurate and secure data handling. Tech Data specialists may also work with databases, data warehouses, and analytics tools to extract insights and improve organizational efficiency. This role is vital in industries that rely on large volumes of technical or operational data.

What are the key skills and qualifications needed to thrive as a Tech Data analyst?

To thrive as a Tech Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with tools like SQL, Python, Excel, and data visualization platforms such as Tableau or Power BI, along with certifications in data analytics, is commonly required. Exceptional attention to detail, problem-solving ability, and effective communication are standout soft skills for this role. These skills and qualities are critical for transforming complex data into actionable insights that drive business decisions.

What are some common challenges faced by Tech Data professionals, and how can they be addressed?

Tech Data professionals often encounter challenges related to managing large volumes of complex data from diverse sources, ensuring data accuracy, and maintaining data security. To address these, it's important to implement robust data management tools, establish clear data governance protocols, and collaborate closely with IT and business teams. Continuous learning and staying updated on emerging technologies can also help professionals stay ahead of industry demands and overcome technical hurdles.

What is the difference between Tech Data vs Network Technician?

AspectTech DataNetwork Technician
Required CredentialsTypically requires a degree in IT, computer science, or related certifications like CompTIA A+ or Network+Often requires similar certifications, with emphasis on networking certifications like Cisco CCNA or CompTIA Network+
Work EnvironmentPrimarily in data centers, warehouses, or office settings managing hardware and software assetsPrimarily in office or on-site locations troubleshooting, installing, and maintaining network infrastructure
Employer & Industry UsageUsed by hardware suppliers, data centers, and IT service providersCommon in corporate IT departments, telecom companies, and managed service providers

Both roles require technical certifications and involve working with hardware and networks. Tech Data professionals focus on managing data assets and hardware logistics, while Network Technicians specialize in maintaining and troubleshooting network systems. The roles often overlap but differ mainly in scope and daily tasks.

What does tech data do?

A tech data professional typically manages and analyzes technology-related information, such as hardware, software, and network data, to support business operations. They often work with data management tools, databases, and may require knowledge of data analysis or IT systems to ensure accurate and efficient data handling.
Infographic showing various Tech Data job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $51,980 per year, or $25 per hour.

Ab Initio Data Engineer

PB consulting

Bound Brook, NJ โ€ข Hybrid

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Required Qualifications
  • Bachelorโ€™s degree in Computer Science, Engineering, or related technical field.
  • 7+ years of ETL development experience with 5+ years of hands-on experience in Ab Initio development.
  • Strong expertise with:
    • Ab Initio GDE (Graphical Development Environment)
    • Co>Operating System (Co>Op)
    • Enterprise Meta>Environment (EME)
    • Conduct>It
    • Data Profiler and Continuous Flows
  • Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS).
  • Advanced SQL skills with experience in relational databases, especially DB2.
  • Strong experience with Unix/Linux shell scripting.
  • Solid understanding of data warehousing concepts:
    • Dimensional modeling
    • Slowly Changing Dimensions (SCD)
    • Star and Snowflake schemas
  • Experience designing and implementing Kafka-based data pipelines.
  • Strong debugging, troubleshooting, and performance tuning skills for large-volume data processing.
Preferred Qualifications
  • Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files
  • Exposure to Kubernetes or OpenShift environments.
  • Familiarity with Hadoop/Spark ecosystems and hybrid ETL architectures.
  • Experience with API-based integrations and streaming data solutions.
  • Prior experience as a technical lead or in client-facing architecture roles.
Roles and Responsibilities
  • Design, develop, and maintain complex ETL workflows and graphs using Ab Initio GDE.
  • Architect end-to-end data integration solutions across multiple source and target systems including: RDBMS, Mainframe systems, Flat files, Message queues, Streaming platforms
  • Optimize Ab Initio graph performance through: Parallelism, Partitioning techniques (Hash, Broadcast, Range), Layout optimization, Checkpointing strategies
  • Develop and manage solutions using Ab Initio components including Co>Op, EME, Conduct>It, Data Profiler, and Continuous Flows.
  • Implement CDC (Change Data Capture) and near-real-time data processing pipelines.
  • Manage metadata, lineage, and data governance activities within EME.
  • Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.
  • Define development standards, review ETL code, and enforce Ab Initio best practices.
  • Mentor junior and mid-level Ab Initio developers.
  • Collaborate with data architects, DBAs, and business teams to translate requirements into technical solutions.