Test Engineer - Data & Analytics Job at Randstad (Auckland)

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...

Location

United States

Salary:

110000.00 - 125000.00 USD / Year

Vaniam Group

Expiration Date

Until further notice

Requirements

5+ years of professional experience in data engineering, ETL, or related roles
Strong proficiency in Python and SQL for data engineering
Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
Practical understanding of Medallion architectures and layered data design
Familiarity with modern data stack tools, including: Spark or PySpark
Workflow orchestration (Airflow, dbt, or similar)
Testing and observability frameworks
Containers (Docker) and Git-based version control
Excellent communication skills, problem-solving mindset, and a collaborative approach

Job Responsibility

Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
Partner with product and innovation teams to build repeatable processes for onboarding new data streams
Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)

What we offer

100% remote environment with opportunities for local meet-ups
Positive, diverse, and supportive culture
Passionate about serving clients focused on Cancer and Blood diseases
Investment in you with opportunities for professional growth and personal development through Vaniam Group University
Health benefits – medical, dental, vision
Generous parental leave benefit
Focused on your financial future with a 401(k) Plan and company match
Work-Life Balance and Flexibility
Flexible Time Off policy for rest and relaxation
Volunteer Time Off for community involvement

Fulltime

Data and Analytics Engineer Intern

The Data and Analytics Engineer Intern will assist in designing, building, and t...

Location

United States , Irvine

Salary:

17.00 - 22.00 USD / Hour

Trace3

Expiration Date

Until further notice

Requirements

Enrollment in the Junior or Senior year of an undergraduate program or master’s program at an accredited college or university
Candidates should be pursuing a field of study applicable to the Data Intelligence internship
Cumulative grade point average (GPA) of 3.0 or better
Ability to work independently on assigned tasks and accepts direction on given assignments
Self-motivated individuals with a customer mindset and desire to help people
Enthusiasm for technical problem solving with attention to detail and strong communication skills
Ability to learn and research in a dynamic and engaging environment
Availability to work 40 hours per week throughout the internship

Job Responsibility

Assist in designing, building, and testing data platforms and analytics solutions to generate actionable insights for our customers
Partner with our Data Intelligence Team to determine the best approach around data ingestion, structure, and storage, then work with the team to ensure these are implemented accurately
Contribute ideas on how to make our customers’ data more valuable and work with members of Trace3’s Engineering Team to implement solutions

What we offer

Comprehensive medical, dental and vision plans for you and your dependents
401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability
Competitive Compensation
Training and development programs
Major offices stocked with snacks and beverages
Collaborative and cool culture
Work-life balance and generous paid time off

Fulltime

Data Analytics Engineer

Beacon Biosignals is seeking an experienced data analytics engineer to strengthe...

Location

United States , Boston

Salary:

Not provided

Beacon Biosignals

Expiration Date

Until further notice

Requirements

Extensive experience developing, testing, and maintaining SQL transformations to deliver reproducible analytic results in a production setting atop data platforms such as Snowflake or Databricks
Proficiency in a scientific programming language such as Julia, Python, or R
A rigorous approach to documentation and automated testing
Experience deploying automated analytics pipelines to a production environment, monitoring their performance, and maintaining them over time
A collaborative mindset
Strong asynchronous communication skills and a knack for making the most of synchronous collaboration
Product-oriented intuition for turning individual stakeholder needs into configurable solutions and broadly applicable features
Familiarity with or interest in learning about analyses that power clinical trials, clinical diagnostics, or other medical applications that leverage data organization, transformation, and statistics

Job Responsibility

Design, implement, and maintain data models and transformations that enrich biosignal metrics with clinical context, powered by Beacon's biosignal data warehouse
Ensure that data pipelines and products produce reproducible results by owning CI test suites and versioning strategies for data models, dashboards, and reports
Build reusable, scalable customer-facing analytics products, such as automated scientific reports and dashboards that can be configured and reused without custom engineering
Improve user documentation and tooling to enable customers and internal scientists to use the analytics layer surface to answer new scientific questions
Deploy and monitor analytics and feature computation services that transform raw biosignal data and clinical metadata to generate meaningful scientific results
Collaborate with scientific subject matter experts, product managers, and customers to identify high-impact analytics improvements that accelerate therapy development

What we offer

Equity
PTO

Analytics Engineer, Product Analytics

As an Analytics Engineer at Airtable, you’ll play a pivotal role in shaping our ...

Location

United States , San Francisco; New York City

Salary:

143600.00 - 177200.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, data science, mathematics/statistics, or a related field (or related experience)
3–5 years of experience working with data, with at least 1 year partnering with product stakeholders
Curiosity and fluency with AI/LLM tools (ChatGPT, Claude, Cursor, etc.)
Experience in SaaS, consumer tech, or data-driven product environments
Proficiency with SQL and data modeling best practices (e.g., dbt, Databricks, Snowflake, BigQuery)
Experience with BI tools and BI modeling best practices (e.g., Looker, Omni Analytics, Tableau, Mode, Hex)
Understanding of user funnels, retention metrics, and growth analytics
Strong ability to ensure data accuracy, reliability, and consistency
Ability to translate business questions into analytical approaches, interpret results, and communicate actionable insights
Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and event taxonomy design

Job Responsibility

Own and maintain core product data pipelines across tools such as dbt, Databricks, Looker, and Omni Analytics, ensuring reliability and scalability
Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas
Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports
Establish trusted partnerships with product managers, engineers, analysts, and leadership, serving as the go-to resource for product data insights and technical guidance
Lead analytics engineering efforts for high-impact product launches, including documentation of tracking plans, launch pipelines, and post-launch reporting
Participate in or lead cross-functional projects where analytics engineering contributions directly influence product strategy decisions

What we offer

Restricted stock units
Incentive compensation
Comprehensive benefits package

Fulltime

Software Engineer - Data Engineering

Akuna Capital is a leading proprietary trading firm specializing in options mark...

Location

United States , Chicago

Salary:

130000.00 USD / Year

AKUNA CAPITAL

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field
5+ years of professional experience developing software applications
Java/Scala experience required
Highly motivated and willing to take ownership of high-impact projects upon arrival
Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino
Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements
Must possess excellent communication, analytical, and problem-solving skills
Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary
Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects
The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role

Job Responsibility

Work within a growing Data Engineering division supporting the strategic role of data at Akuna
Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows
Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects
Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark
Mentor junior engineers in software and data engineering best practices
Produce clean, well-tested, and documented code with a clear design to support mission critical applications
Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data quality, data availability and data correctness
Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack

What we offer

Discretionary performance bonus
Comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits

Fulltime

Pyspark Data Engineer

The Data Analytics Intmd Analyst is a developing professional role. Deals with m...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

4-8 years relevant experience in Data Analytics and Big Data
SQL, Python, Pyspark, with Spark components
Minimum 4 years of experience as a python developer with expertise in automation testing to design, develop, and automate robust software solutions and testing frameworks like Pytest, Behave
2-4 years of experience as Big Data Engineer to develop, optimize, and manage large-scale data processing systems and analytics platforms
4 years of experience in distributed data processing & near real-time data analytics using PySpark
Strong understanding of PySpark execution plans, partitioning & optimization techniques

Job Responsibility

Integrates in-depth data analysis knowledge with a solid understanding of industry standards and practices
Demonstrates a Good understanding of how data analytics teams and area integrate with others in accomplishing objectives
Applies project management skills
Applies analytical thinking and knowledge of data analysis tools and methodologies
Analyzes factual information to make accurate judgments and recommendations focused on local operations and broader impacts
Applies professional judgment when interpreting data and results breaking down information in a systematic and communicable manner
Employs developed communication and diplomacy skills to exchange potentially complex/sensitive information
Demonstrates attention to quality and timeliness of service to ensure the effectiveness of the team and group
Provides informal guidance or on-the-job-training to new team members
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Head of Data Infrastructure & Analytics

As our remote Head of Data Infrastructure & Analytics, you will take the helm of...

Location

United States

Salary:

200000.00 USD / Year

Puffy

Expiration Date

Until further notice

Requirements

7+ years in digital analytics with proven track record of owning data quality in high-stakes B2C environments
Expert-level knowledge: GA4, GTM, server-side tracking, data pipeline architecture, e-commerce tracking
Can diagnose and fix tracking setup errors across the entire stack
Strong technical skills: SQL expert, Python or R proficiency for data validation
Data engineering knowledge: Understand ETL/ELT, data warehousing, API integrations, event-driven architecture
Experience building data quality systems: Automated validation checks, data observability, monitoring frameworks
Proven team leadership: Can manage 3+ person analytics team
Experience with data observability tools (Monte Carlo, Great Expectations, dbt tests)
Background in analytics engineering or data reliability engineering
Track record in high-growth e-commerce (sleep, wellness, DTC)

Job Responsibility

Data Quality Infrastructure (Your #1 Priority)
Audit existing tracking setup (GA4, GTM, Shopify, Klaviyo, ad platforms) and fix every configuration error
Build automated validation systems that catch bugs before humans see them
Implement pre-leadership QA processes with hard gates
Create monitoring and alerting
Technical Architecture & Reliability
Design and maintain server-side tracking implementation for attribution accuracy
Architect data pipelines that handle $2M+ monthly ad spend tracking without errors
Own end-to-end data flow: website events → collection → transformation → warehouse → reporting
Establish technical standards

What we offer

Continuous learning
10% monthly bonus
Premium insurance
Achievement recognition
Free snacks and lunches
Generous annual leave
AI tools and tech stack
18+ nationalities
Social events & activities
Learning and development support (we pay for courses you need to upskill)

Fulltime

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our team.

Location

Salary:

Not provided

Boston Data Pro

Expiration Date

Until further notice

Requirements

Data Engineering: 8 years (Preferred)
Data Programming languages: 5 years (Preferred)
Data Developers: 5 years (Preferred)

Job Responsibility

Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction
Ensures quality of technical solutions as data moves across multiple zones and environments
Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
Ensures managed analytic assets to support the company’s strategic goals by creating and verifying data acquisition requirements and strategy
Develops, constructs, tests, and maintains architectures
Aligns architecture with business requirements and use programming language and tools
Identifies ways to improve data reliability, efficiency, and quality
Conducts research for industry and business questions
Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
Prepares data for predictive and prescriptive modeling and find hidden patterns using data

Test Engineer - Data & Analytics

Randstad

Location:
New Zealand , Auckland

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 28, 2026

Expiration:
March 20, 2026

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