Python/Pyspark Engineer Job at Realign (Jersey City)

Python/Pyspark Engineer

Location

Slovakia , Bratislava

Salary:

Not provided

Signify Technology

Expiration Date

Until further notice

Requirements

min. 4-year demonstrable project experience in the field of software Python engineering
language SQL for searching and manipulating data
framework PySpark or equivalent for creating and optimizing complex data pipelines
Scrum/Agile development methodologies
working in a global distributed team in a multicultural environment
ability to clearly express technical topics to a non-technical audience
active knowledge of English at a communicative level (min. B2-C1)
min. Bachelor's or equivalent degree in computer science, data science or a similar discipline

Job Responsibility

Development of a modern Lakehouse architecture based on Azure Datalake using Python and the PySpark framework for implementing business services in the field of insurance
implementation of business functions that will allow you to run accounting processes and generate data to meet reporting requirements
designing, developing, automating and supporting backend applications that combine data elements from multiple domains and systems
cooperation with: other engineers, analysts, product owners and stakeholders to deliver value-added solutions that meet business needs and expectations
team lead engineer to create a target architecture for products within the team's scope
design of data transformation and data flow services and active participation in coding
presentation and communication of ideas and proposals to various stakeholders for the purpose of evaluation and brainstorming
implementation of software engineering practices to ensure the quality, performance and sustainability of applications
performing peer code reviews

Associate MLOps Analyst

The Associate MLOps Analyst will be a key member of Circle K's Data & Analytics ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
1-2 years of relevant working experience in MLOps
Knowledge of core computer science concepts such as common data structures and algorithms, OOPs
Programming languages (R, Python, PySpark, etc.)
Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)
Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
Exposure to ETL tools and version controlling
Experience in building and maintaining CI/CD pipelines for ML models
Understanding of machine-learning, information retrieval or recommendation systems

Job Responsibility

Collaborate with data scientists to deploy ML models into production environments
Implement and maintain CI/CD pipelines for machine learning workflows
Use version control tools (e.g., Git) and ML lifecycle management tools (e.g., MLflow) for model tracking, versioning, and management
Design, build as well as optimize applications containerization and orchestration with Docker and Kubernetes and cloud platforms like AWS or Azure
Automating pipelines using understanding of Apache Spark and ETL tools like Informatica PowerCenter, Informatica BDM or DEI, Stream Sets and Apache Airflow
Implement model monitoring and alerting systems to track model performance, accuracy, and data drift in production environments
Work closely with data scientists to ensure that models are production-ready
Collaborate with Data Engineering and Tech teams to ensure infrastructure is optimized for scaling ML applications
Optimize ML pipelines for performance and cost-effectiveness
Help the Data teams leverage best practices to implement Enterprise level solutions

Data Engineer

This role involves designing, building, and optimizing data ingestion, transform...

Location

United States , Radnor

Salary:

120000.00 - 150000.00 USD / Year

Beacon Hill

Expiration Date

Until further notice

Requirements

3+ years of professional data engineering experience
Strong hands‑on expertise with: Azure Databricks (Spark/PySpark), Azure Data Factory (pipelines, data flows, orchestration), Azure Data Lake Storage, SQL and Python/PySpark scripting
Experience building scalable, reliable ETL/ELT solutions in cloud environments
Familiarity with CI/CD, version control, and DevOps workflows for data solutions

Job Responsibility

Designing, building, and optimizing data ingestion, transformation, and delivery pipelines that support enterprise analytics, reporting, and operational data needs

Fulltime

Data Engineer

We are seeking a Data Engineer with strong experience in Azure cloud technologie...

Location

United States , Radnor

Salary:

120000.00 - 150000.00 USD / Year

Beacon Hill

Expiration Date

Until further notice

Requirements

3+ years of professional data engineering experience
Strong hands‑on expertise with: Azure Databricks (Spark/PySpark), Azure Data Factory (pipelines, data flows, orchestration), Azure Data Lake Storage, SQL and Python/PySpark scripting
Experience building scalable, reliable ETL/ELT solutions in cloud environments
Familiarity with CI/CD, version control, and DevOps workflows for data solutions

Job Responsibility

Designing, building, and optimizing data ingestion, transformation, and delivery pipelines that support enterprise analytics, reporting, and operational data needs

Fulltime

Graduate Data Engineer

As a Graduate Data Engineer, you will build and maintain scalable data pipelines...

Location

United Kingdom , Marlow

Salary:

Not provided

SRG

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, Mathematics, or similar, or similar work experience
Up to 2 years of experience building data pipelines at work or through internships
Can write clear and reliable Python/PySpark code
Familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud)
Deep understanding of data models, relational and non-relational databases, and how they are used to organize, store, and retrieve data efficiently for analytics and machine learning
Knowledge about software engineering methods, including DevOps, DataOps, or MLOps is a plus
Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics), or minimum 2 years of relevant technology experience
Experience with Generative AI (GenAI) and agentic systems will be considered a strong plus
Have a proactive and adaptable mindset: willing to take initiative, learn new skills, and contribute to different aspects of a project as needed to drive solutions from start to finish, even beyond the formal job description
Show a strong ability to thrive in situations of ambiguity, taking initiative to create clarity for yourself and the team, and proactively driving progress even when details are uncertain or evolving

Job Responsibility

Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets
Assist in preparing and optimizing data pipelines to support machine learning and AI model development, ensuring datasets are clean, well-structured, and readily usable by Data Science teams
Support the integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions
Engaged in gathering and translating stakeholder requirements for key data models and reporting, with a focus on Palantir Foundry workflows and tools
Participate in developing and refining dashboards and reports in Foundry to visualize key metrics and insights
Collaborate with Product, Engineering, and GTM teams to align data architecture and solutions, learning to support scalable, self-serve analytics across the organization
Have some prompt engineering experience with large language models, including writing and evaluating complex multi-step prompts
Continuously develop your understanding of the company's data landscape, including Palantir Foundry's ontology-driven approach and best practices for data management

Data Test Engineer

Jump into a critical 6-month contract where your expertise in data integrity wil...

Location

New Zealand , Auckland

Salary:

Not provided

Randstad

Expiration Date

March 20, 2026

Requirements

Hands-on experience in Data Quality Testing or QA roles
Solid understanding of ETL concepts, data transformations, and relational database principles (SQL)
Practical exposure to Python scripting for building reusable validation frameworks
Ability to contribute to CI/CD testing processes
Valid New Zealand work rights

Job Responsibility

Design and Execute data quality tests to ensure processed data meets all functional and business requirements
Validate the accuracy and integrity of transformed datasets across various ETL pipelines
Develop Automation scripts using Python/PySpark to streamline validation within our existing framework
Identify and Escalate data anomalies or pipeline issues before they impact the business
Collaborate closely with Data Engineers and Data Analysts to resolve technical issues and document findings

What we offer

Hybrid (at least 3 days in-office) with flexible hours

Fulltime

Senior Data Engineer

Sr Data Engineer. SR DE-I: Highly skilled Data Engineer with minimum 5+ years of...

Location

India , Kolkata

Salary:

Not provided

InXiteOut

Expiration Date

Until further notice

Requirements

Minimum 5+ years of relevant experience in SQL, PySpark, ETL, Data Lakes and Azure Tech Stack
3+ years of experience in building data Pipelines with Python/PySpark
4+ years of experience in Azure ETL stack (eg. Blog Storage, Data Lake, Data Factory, Synapse)
4+ years of experience with SQL
Proficient understanding of code versioning tools such as Git and PM tool like Jira
Excellent verbal and written communication skills
UG: B.Sc in Any Specialization, BCA in Any Specialization, B.Tech/B.E. in Any Specialization
A good internet connection is a must

Fulltime

Test Engineer - Data & Analytics

A leading New Zealand organisation is seeking a skilled Test Engineer to join a ...

Location

New Zealand , Auckland

Salary:

Not provided

Randstad

Expiration Date

March 20, 2026

Requirements

Hands-on experience in data quality testing, QA, or related data-centric roles
Solid understanding of ETL concepts, data transformations, and pipeline logic
Proficiency in SQL and relational database principles for querying and validating datasets
Exposure to Python scripting for building automation and validation frameworks
Strong grasp of functional testing principles and a methodical, edge-case-driven approach
Proactive problem-solver with a mindset geared toward improving test reliability
Excellent collaboration skills, with the ability to work effectively across technical teams
Commitment to continuous learning and adapting to evolving data technologies

Job Responsibility

Design and execute data quality tests to ensure processed data meets functional and business requirements
Validate the accuracy and completeness of transformed datasets across ETL pipelines
Identify and escalate data anomalies, inconsistencies, and pipeline quality issues
Develop and run test cases for data pipelines, including business logic validation
Implement automated validation scripts using Python/PySpark within reusable frameworks
Contribute to CI/CD testing processes to enable continuous delivery of reliable data products
Document test plans and findings, collaborating with technical teams to resolve issues

What we offer

Competitive market rates
Chance to work on modern data stacks
Hybrid working (at least 3 days in-office)

Fulltime

Python/Pyspark Engineer

Realign

Location:
United States , Jersey City

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 21, 2026

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