Data Ops Engineer Job at Realign (Jersey City)

Data Infrastructure Engineer

A venture-backed startup at the intersection of AI and national security is buil...

Location

United States , New York City Metropolitan Area

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Strong engineering experience in Python, Go, or C
Experience building and scaling production data systems
Hands-on expertise with model deployment and ML Ops practices
Knowledge of database design, performance tuning, and operations
Someone who thrives in early-stage, fast-paced environments and enjoys tackling complex challenges

Job Responsibility

Build and maintain the data pipelines and infrastructure that power ML applications
Deploy and manage models at scale, from training through production
Design APIs and services that integrate smoothly into mission-critical workflows
Ensure data is handled and secured properly across large, distributed environments
Collaborate closely with a small, fast-moving team to solve hard technical problems in real-world settings

What we offer

Significant equity
Strong health & wellness benefits

Fulltime

Lead Data Engineer

Lead Data Engineer to serve as both a technical leader and people coach for our ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
8-10 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Fulltime

Lead Data Engineer

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader i...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
7-9 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Certifications in Azure, Databricks, or Snowflake are a plus
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Fulltime

Data Ops Capability Deployment - Analyst

Data Ops Capability Deployment - Analyst is a seasoned professional role. Applie...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10 + years of active development background and experience in Financial Services or Finance IT
Experience with Data Quality/Data Tracing/Data Lineage/Metadata Management Tools
Hands on experience for ETL using PySpark on distributed platforms along with data ingestion, Spark optimization, resource utilization, capacity planning & batch orchestration
In depth understanding of Hive, HDFS, Airflow, job scheduler
Strong programming skills in Python with experience in data manipulation and analysis libraries (Pandas, Numpy)
Should be able to write complex SQL/Stored Procs
Should have worked on DevOps, Jenkins/Lightspeed, Git, CoPilot
Strong knowledge in one or more of the BI visualization tools such as Tableau, PowerBI
Proven experience in implementing Datalake/Datawarehouse for enterprise use cases
Exposure to analytical tools and AI/ML is desired

Job Responsibility

Hands on with data engineering background and have thorough understanding of Distributed Data platforms and Cloud services
Sound understanding of data architecture and data integration with enterprise applications
Research and evaluate new data technologies, data mesh architecture and self-service data platforms
Work closely with Enterprise Architecture Team on the definition and refinement of overall data strategy
Should be able to address performance bottlenecks, design batch orchestrations, and deliver Reporting capabilities
Ability to perform complex data analytics (data cleansing, transformation, joins, aggregation etc.) on large complex datasets
Build analytics dashboards & data science capabilities for Enterprise Data platforms
Communicate complicated findings and propose solutions to a variety of stakeholders
Understanding business and functional requirements provided by business analysts and convert into technical design documents
Work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support

Fulltime

Data Engineer

We’re looking for a hands-on Data Engineer with 2–5 years of experience to build...

Location

Sri Lanka

Salary:

Not provided

IQZ Systems

Expiration Date

Until further notice

Requirements

2+ years of experience
Solid Python (pandas, PySpark or data frameworks)
modular, testable code
Strong SQL across analytical databases/warehouses (e.g., Snowflake/BigQuery/Redshift/Azure Synapse)
Experience building production-grade pipelines and transformations
Exposure to at least one cloud (AWS/Azure/GCP/Databricks) for data storage and compute
Hands-on with Spark (PySpark) or equivalent distributed processing
Airflow or Prefect (DAGs, schedules, sensors, retries, SLAs)
Git workflows
basic CI for data jobs

Job Responsibility

Build Pipelines: Develop, test, and deploy scalable ETL/ELT pipelines for batch and streaming use cases
Model Data: Design clean, query-optimized data models (star schema, SCD, slowly changing logic as needed)
SQL Excellence: Author performant SQL for transformations, materializations, and reports
Orchestrate Workflows: Implement DAGs/workflows with Airflow/Prefect
maintain SLAs and retries
Data Quality: Add validation checks, schema enforcement, and alerting (e.g., Great Expectations)
Performance & Cost: Tune Spark/warehouse queries, optimize storage formats/partitions, and control costs
Collaboration: Work with Analytics, Data Science, and Product to translate requirements into data models
Ops & Reliability: Monitor pipelines, debug failures, and improve observability and documentation
Security & Compliance: Handle data responsibly (PII), follow RBAC/least privilege, and secrets management

What we offer

A dynamic and collaborative work environment
Opportunities for professional growth and development
Competitive compensation and benefits
The chance to shape impactful products that solve real-world problems
Exposure to cutting-edge technologies and tools, with opportunities to innovate and explore new business solutions

Fulltime

Mechanical Engineering Co-op

As a Mechanical Engineering Co-op for Boston Engineering, you will have the oppo...

Location

United States , Waltham

Salary:

Not provided

Boston Engineering

Expiration Date

Until further notice

Requirements

Prior engineering (or similar) internship or coop experience
Working understanding of mechanical engineering concepts: statics, dynamics, stress, materials, machine design, etc.
Working understanding of mechanical design concepts: FBD’s, stress analysis, component tolerances, engineering drawings, etc.
Experience using CAD software, SolidWorks and/or Creo preferred
Basic hands-on experience: hand tools, machine assembly, debugging mechanical systems, etc.
Ability to work independently and as a part of a team
Good communication, technical writing, and documentation skills
Time management and organization of multiple tasks

Job Responsibility

Assisting with design tasks (CAD development, analysis, component selection)
Participating in brainstorm discussion and concept development
Hands-on prototype development, rework, and assembly
Design and assembly of test equipment
Test implementation, data analysis, and technical documentation
Presenting to interdisciplinary internal and client teams

What we offer

Mentorship program guided by a mentor interested in your success
Training courses and seminars on engineering concepts and skills
Exposure to a wide range of industries, disciplines, companies, and more

Data Infrastructure Engineer

Data Infrastructure Engineer – New York or DC (hybrid) – Competitive Salary + Eq...

Location

United States , New York or DC

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Startup Energy: You thrive in fast-paced environments, manage ambiguity well, and focus on what moves the needle
Designing and deploying intuitive, user-friendly APIs
Demonstrated ability to train and deploy models at scale
Successfully launching machine learning services, particularly those leveraging LLMs, embeddings, and inference, into production environments
Handling and securing large-scale production data
Demonstrated proficiency in Python, Go, or C
A proactive approach to tackling complex challenges in a fast-paced, early-stage environment
A passion for innovation and a collaborative spirit

Job Responsibility

Joining as part of the founding Engineering team, you will be a key part of developing secure data sharing middleware
Their software will integrate seamlessly into the workflows of specialized professionals, ensuring secure and efficient data access throughout the asset recruitment process
The data infrastructure engineer requires a mix of software development and ML Ops practices, resulting in an exciting, fast paced engineering role
You will be able to demonstrate experience building, shipping and supporting mission critical services in support of the services that make up the Data platform
This role requires the ability to provide solutions for the full data stack – from the data management, software development and model and deployment lifecycles

What we offer

Competitive Salary + Equity

Fulltime

Data Engineer

We’re looking for a hands-on Data Engineer with 2–5 years of experience to build...

Location

India

Salary:

Not provided

IQZ Systems

Expiration Date

Until further notice

Requirements

2+ years of experience
Solid Python (pandas, PySpark or data frameworks)
modular, testable code
Strong SQL across analytical databases/warehouses (e.g., Snowflake/BigQuery/Redshift/Azure Synapse)
Experience building production-grade pipelines and transformations
Exposure to at least one cloud (AWS/Azure/GCP/Databricks) for data storage and compute
Hands-on with Spark (PySpark) or equivalent distributed processing
Airflow or Prefect (DAGs, schedules, sensors, retries, SLAs)
Git workflows
basic CI for data jobs

Job Responsibility

Build Pipelines: Develop, test, and deploy scalable ETL/ELT pipelines for batch and streaming use cases
Model Data: Design clean, query-optimized data models (star schema, SCD, slowly changing logic as needed)
SQL Excellence: Author performant SQL for transformations, materializations, and reports
Orchestrate Workflows: Implement DAGs/workflows with Airflow/Prefect
maintain SLAs and retries
Data Quality: Add validation checks, schema enforcement, and alerting (e.g., Great Expectations)
Performance & Cost: Tune Spark/warehouse queries, optimize storage formats/partitions, and control costs
Collaboration: Work with Analytics, Data Science, and Product to translate requirements into data models
Ops & Reliability: Monitor pipelines, debug failures, and improve observability and documentation
Security & Compliance: Handle data responsibly (PII), follow RBAC/least privilege, and secrets management

Fulltime

Data Ops Engineer

Realign

Location:
United States , Jersey City

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 21, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Data Ops Engineer

Data Infrastructure Engineer

Lead Data Engineer

Lead Data Engineer

Data Ops Capability Deployment - Analyst

Data Engineer

Mechanical Engineering Co-op

Data Infrastructure Engineer

Data Engineer

Data Ops Engineer

Realign

Location:United States , Jersey City

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:March 21, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Data Ops Engineer

Data Infrastructure Engineer

Lead Data Engineer

Lead Data Engineer

Data Ops Capability Deployment - Analyst

Data Engineer

Mechanical Engineering Co-op

Data Infrastructure Engineer

Data Engineer

Location:
United States , Jersey City

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
March 21, 2026