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Remote Data Engineering Apprenticeship Jobs in New York

Software Technology Inc

Data Engineering

Manhattan, NY · On-site +1

Remote or Hybrid (NYC office) Requirements: * 5+ years of experience in data engineering. * Strong proficiency in Python for data processing and automation. * Hands-on experience with AWS data ...

Samprasoft

Data Engineering

Manhattan, NY · On-site +1

Remote or Hybrid (NYC office) Requirements: * 5+ years of experience in data engineering. * Strong proficiency in Python for data processing and automation. * Hands-on experience with AWS data ...

Kaav Inc.

Data Engineering

Manhattan, NY · On-site +1

Remote or Hybrid (NYC office) Requirements: * 5+ years of experience in data engineering. * Strong proficiency in Python for data processing and automation. * Hands-on experience with AWS data ...

Procyon TS

Data Engineering

Manhattan, NY · On-site +1

Remote or Hybrid (NYC office) Requirements: * 5+ years of experience in data engineering. * Strong proficiency in Python for data processing and automation. * Hands-on experience with AWS data ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126.10K - $151.40K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... Perform data engineering and analytics tasks, including data ingestion, SQL orchestration, and data ...

Diverse Lynx

Data Engineering Lead

Manhattan, NY · Remote

$130K - $150K/yr

Job Role- Data Engineering Lead Job Location - New York, NY (Onsite)/ Could be a Remote with Travel few day in a Month Job Type - Fulltime Salary Range: $130000 to $150000/Annum Must Have Technical ...

Mercor

Data Engineer - Fully Remote

New York, NY · Remote

$90 - $125/hr

Data Engineering Expert Type: Contract Compensation: $90-$125/hour Location: Remote Role Responsibilities * Build long-horizon pipeline tasks with deterministic rubrics to grade agent performance ...

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Remote Data Engineering Apprenticeship information

What are the key skills and qualifications needed to thrive as a Remote Data Engineering Apprentice, and why are they important?

To excel as a Remote Data Engineering Apprentice, you need a foundational understanding of programming (especially Python or SQL), data modeling, and database management, typically supported by relevant coursework or a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Google Cloud), ETL tools, and version control systems (such as Git) is often required, and certifications in these areas can be beneficial. Strong problem-solving, communication, and self-motivation are vital soft skills for collaborating virtually and adapting to new challenges. These skills ensure you can effectively contribute to data projects, learn quickly in a remote environment, and support team goals in a rapidly evolving field.

What are some common challenges faced by remote data engineering apprentices, and how can they be effectively managed?

Remote data engineering apprentices often encounter challenges such as limited face-to-face mentorship, managing time zones, and ensuring strong communication with team members. To overcome these, it helps to proactively schedule regular check-ins with mentors, set clear daily goals, and utilize collaboration tools like Slack or Jira. Establishing a dedicated workspace and adhering to a structured routine can also foster productivity and help apprentices stay engaged with their projects and team.

What is a Remote Data Engineering Apprenticeship?

A Remote Data Engineering Apprenticeship is a structured training program where individuals learn the fundamentals of data engineering while working remotely. Apprentices typically gain hands-on experience with data pipelines, databases, and tools such as SQL, Python, and cloud services under the supervision of experienced mentors. The goal is to prepare apprentices for a full-time role as a data engineer by exposing them to real-world projects and industry best practices. This type of apprenticeship is ideal for those looking to start a career in data engineering while benefiting from the flexibility of remote work.

What is the difference between Remote Data Engineering Apprenticeship vs Remote Data Engineer?

AspectRemote Data Engineering ApprenticeshipRemote Data Engineer
Required CredentialsTypically entry-level, often requiring basic programming or data fundamentalsUsually requires a bachelor's degree in computer science, data science, or related field, with experience in data tools
Work EnvironmentTraining-focused, often part-time or structured learning programsFull-time remote role with project responsibilities
Employer & Industry UsageUsed by companies to train new talent; common in tech and data-driven industriesHired as a professional to develop and maintain data pipelines and systems

The Remote Data Engineering Apprenticeship is an entry-level training program designed to develop foundational skills in data engineering, often with mentorship and structured learning. In contrast, a Remote Data Engineer is a full-time professional responsible for building and managing data infrastructure. The apprenticeship prepares individuals for a career in data engineering, while the data engineer role involves applying those skills in real-world projects.

What are the most commonly searched types of Data Engineering Apprenticeship jobs in New York? The most popular types of Data Engineering Apprenticeship jobs in New York are:
What are popular job titles related to Remote Data Engineering Apprenticeship jobs in New York? For Remote Data Engineering Apprenticeship jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering Apprenticeship jobs in New York look for? The top searched job categories for Remote Data Engineering Apprenticeship jobs in New York are:
What cities in New York are hiring for Remote Data Engineering Apprenticeship jobs? Cities in New York with the most Remote Data Engineering Apprenticeship job openings:
Remote Data Engineering Apprenticeship jobs near you
Infographic showing various Remote Data Engineering Apprenticeship job openings in New York as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Associate Data Engineer

Black Rock Solutions INC

Manhattan, NY • Remote

$60K - $80K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Black Rock Solutions INC provided pay range This range is provided by Black Rock Solutions INC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $60,000.00/yr - $80,000.00/yr Industry & Sector : Financial services — investment risk analytics, portfolio engineering, and enterprise data platforms.

We build scalable data infrastructure and analytics pipelines that power risk signals, regulatory reporting, and client-facing analytics for institutional customers. Primary Title: Data Engineer (Remote, United States) About The Opportunity We are recruiting a remote Data Engineer to join a high-performance engineering team focused on operationalizing large-scale ETL/ELT and streaming data solutions. You will design, implement, and operate resilient data pipelines and platform components that deliver timely, accurate analytics for trading, risk, and reporting use‐cases.

Role & Responsibilities Design, build, and maintain scalable batch and streaming data pipelines to ingest, transform, and deliver high-quality datasets for analytics and ML. Author and optimize reusable ETL/ELT workflows using managed orchestration (e.g., Airflow) and Spark-based compute for performance and cost‐efficiency. Implement and maintain cloud data platform components (data warehouses, storage, access controls) to support ad‐hoc analytics and production reporting.

Collaborate with data scientists, analysts, and SREs to define data schemas, validation rules, monitoring, and SLAs for production datasets. Drive data engineering best practices: modular code, CI/CD pipelines, automated testing, observability, and infrastructure‐as‐code. Troubleshoot production incidents, perform root‐cause analysis, and implement long‐term reliability improvements.

Skills & Qualifications Must‐Have Python SQL Apache Spark Apache Airflow Snowflake AWS Preferred dbt Apache Kafka Terraform Qualifications : Proven experience building production data pipelines for analytics or risk workflows; strong troubleshooting and system‐design ability; familiarity with data governance, lineage, and observability practices. Candidates should be authorized to work in the United States. Benefits & Culture Highlights Fully remote, US‐based role with flexible work policies and distributed engineering teams.

Focus on professional growth: technical mentorship, learning budget, and opportunities to influence platform design. High‐impact environment where engineering ownership and data quality drive business outcomes. This role is keyword‐optimized for data engineering searches (ETL, ELT, data pipelines, streaming, Snowflake, Spark, Airflow, AWS) and is ideal for hands‐on engineers who enjoy building reliable data platforms for mission‐critical financial analytics.

Skills: python,apache spark,snowflake,sql,aws,terraform,dbt,apache kafka Seniority level Associate Employment type Full‐time Job function Information Technology Industries: Human Resources Services Referrals increase your chances of interviewing at Black Rock Solutions INC by 2x Get notified about new Data Engineer jobs in United States . #J-18808-Ljbffr

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