SQL

SQL Engineer Jobs

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Today

Data Engineer with Python and React

Glint Tech Solutions LLC Jersey City, NJ 🇺🇸 Remote

Jersey City, NJ

Today

Full time Backend Developer Python Analytics

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Job Description

Glint Tech Solutions LLC is hiring a Data Engineer to develop and support scalable, data-driven applications and platforms for the healthcare domain. This role combines Python for backend data engineering with React for frontend web experiences, along with responsibility for ETL/ELT pipelines, integrations, and production reliability in HIPAA-aligned environments.

Key Responsibilities

Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend).
Design and develop scalable data pipelines, APIs, and frontend dashboards aligned to healthcare workflows.
Create ETL/ELT pipelines to process clinical, operational, and healthcare datasets.
Work with healthcare data systems, including EHR integrations and healthcare interoperability platforms.
Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams.
Integrate with healthcare data standards and systems, including HL7 and FHIR, and Epic and Cerner environments where applicable.
Design and optimize data models, warehouses, and data processing workflows.
Translate healthcare operational and reporting requirements into scalable data solutions.
Ensure applications and data platforms meet security, privacy, and compliance requirements in HIPAA-aligned environments.
Monitor, debug, optimize, and maintain production data systems and applications.
Collaborate with cross-functional stakeholders, including data analysts, clinicians, operations teams, and software engineers.

Required Qualifications

Strong hands-on experience with Python for data engineering and backend development.
Experience with data processing frameworks and libraries such as Pandas, PySpark, Airflow, and SQLAlchemy.
Basic to strong experience with React.js frontend development.
Experience building scalable ETL/ELT pipelines and production-grade data applications.
Strong understanding of REST APIs and system integrations.
Experience working with relational and/or NoSQL databases.
Experience with data warehousing, data modeling, and large-scale data processing.
Familiarity with cloud platforms and data services: AWS, Azure, or GCP preferred.
Ability to work in ambiguous, real-world problem spaces.
Strong communication skills with technical and non-technical stakeholders.
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

Technologies

Python, React, React.js
Pandas, PySpark, Airflow, SQLAlchemy
REST APIs, ETL, ELT
AWS, Azure, GCP
HL7, FHIR, Epic, Cerner

Preferred Experience

Prior experience in healthcare technology or healthcare systems.
Familiarity with HL7, FHIR, or EHR systems such as Epic or Cerner.
Experience with healthcare workflows across clinical, operational, or administrative systems.
Exposure to regulated environments including HIPAA and security-sensitive systems.
Experience with big data technologies and distributed processing systems.
Experience building analytics dashboards or data visualization platforms.
Experience with enterprise-scale data platforms and pipelines.

Location

Jersey City, NJ (remote).

Education

Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

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Today

Data & Analytics Engineer, Health & Fitness, Sensing & Connectivity

Apple Cupertino, CA

Cupertino, CA

Today

$150k - $225k/yr Full time Python Analytics Big Data

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Job Description

Apple is building next-generation Health and Fitness experiences, turning consumer sensor time-series into actionable research insights. In this role, you will design and deliver scalable data infrastructure and analytics that help validate feature performance, improve data quality, and support cross-functional product development.

This position is onsite in Cupertino, CA and includes a salary range of USD 150,400 - 225,300 per year.

What You’ll Do

Design and develop scalable, parallelized data pipelines to process and transform complex time-series health data from consumer-grade sensors.
Build tools and dashboards for visualization, data exploration, analysis, and research insight generation.
Partner with study stakeholders to gather requirements and contribute to study design, tooling development, and data quality monitoring processes.
Design and run analytics to validate algorithm simulation outputs against ground truth, including building automated QA metrics to track feature performance over time.
Collaborate with cross-functional teams, including Software, Algorithms, and EPM, to support health software design, integration, testing, and deployment.

Minimum Qualifications

BS degree in Computer Science, Engineering, Data Science, or a related technical field.
Minimum 3 years of industry experience building and maintaining large-scale data processing or simulation pipelines, or performing large-scale data analysis.
Strong Python skills, focused on clean, maintainable, high-performance code.
Working familiarity with SQL for querying, transforming, and analyzing structured data.
Hands-on experience with distributed computing frameworks such as Apache Spark.
Comfort leveraging AI tools to accelerate problem-solving and development.

Relevant Skills and Tools

Python, SQL, Apache Spark
AWS, GCP, Azure
Docker, Kubernetes
Linux
iOS, C++

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition for formal education related to advancing your career
Discretionary bonuses or commission payments, as well as relocation (discretionary; eligibility may apply)
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Eligible for discretionary restricted stock unit awards
Can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan

Preferred Qualifications

Applied machine learning experience, including building models on large datasets
Experience working with sensor data, time-series data, or healthcare datasets
Experience in cloud environments (AWS, GCP, or Azure) with containerization tools such as Docker and Kubernetes
Comfort working in Linux environments, including scripting, navigation, and basic troubleshooting
Exposure to clinical studies, FDA validation processes, or regulated health environments
Experience building iOS apps; familiarity with C++ is a plus
Self-directed work style, including experience producing architecture and design documents
Strong communication and cross-functional collaboration skills, including translating requirements from technical and non-technical partners into practical engineering tasks

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Today

Analytics Engineer II

Summit Utilities Inc Fayetteville, AR

Fayetteville, AR

Today

Full time Azure DevOps Azure Sql Data Analysis

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Job Description

Summit Utilities Inc builds enterprise-grade analytics data products that help teams deliver reliable reporting, support regulatory submissions, and improve operational decision-making. In this hybrid role based in Arkansas, you will focus on independent dbt model development within Microsoft Fabric and Azure SQL, owning subject areas end-to-end from source profiling through deployment and ongoing monitoring.

Responsibilities

Design, build, and maintain dbt models that transform source data into governed, analytics-ready datasets across one or more subject areas.
Develop and maintain dbt schema tests (for example not_null, unique, accepted_values, and relationships) and implement source freshness checks to enforce data quality SLAs.
Optimize SQL transformations for performance, cost-efficiency (CU usage), and maintainability in Microsoft Fabric and Azure SQL environments.
Investigate root causes of data discrepancies across upstream and downstream systems, partnering with Data Engineers to remediate pipeline issues.
Collect and document data requirements from Data Analysts, business partners, and regulatory teams, then translate those needs into dbt model designs.
Implement and maintain dbt project structure including refs, sources, YAML configurations, packages (dbt_utils, dbt_expectations), and incremental materializations.
Author clear, business-friendly documentation in dbt documentation, including model purpose, column definitions, and lineage notes.
Collaborate with Data Engineers on pipeline requirements and shared standards for ingestion, modeling, and monitoring.
Contribute to source control and CI/CD workflows for dbt projects, including pull request review and deployment automation.
Support testing and validation for pipeline enhancements, schema changes, and new source onboarding.
Mentor Analytics Engineer I peers through pair-programming, code review, and knowledge sharing.
Participate in team standups, sprint planning, code reviews, and architecture discussions.
Build working knowledge of utility data domains including billing, AMI, SCADA, SAP, and GIS, along with the data quality needs of each operational system.

Requirements

Bachelor’s degree in data Analytics, Information Systems, Computer Science, Mathematics, or a related field preferred; equivalent combination of education and relevant experience will be considered.
3–6 years of experience in analytics engineering, data engineering, data analysis, or BI development.
Hands-on experience building and maintaining dbt models in a production or near-production environment.
Strong relational database experience including query writing, optimization, and understanding stored procedures.
Demonstrated experience working within cloud-based data environments (Microsoft Fabric, Azure SQL, AWS, or similar).
Familiarity with source control practices and CI/CD workflows for analytics or data projects.
Proficiency in SQL for querying, transformation, and analysis, including complex joins, CTEs, window functions, and subqueries.
Working knowledge of dbt: ability to develop models, write schema tests, use packages, and understand refs and sources.
Solid understanding of ETL/ELT concepts and the data lifecycle from ingestion through consumption.
Familiarity with data governance and metadata management practices.
Ability to gather requirements, document assumptions, and translate analytical needs into dbt model designs.
Skilled in root cause analysis and triage across upstream and downstream systems.
Working knowledge of cloud data platforms, with hands-on experience in Microsoft Fabric or Azure SQL preferred.
Familiarity with API integrations and flat file ingestion (CSV, JSON, XML), and SAP data structures.
Ability to work independently and own portions of project delivery from requirements through deployment.
Strong written documentation habits and ability to communicate technical decisions to teammates and stakeholders.
Proficiency with source control tools (Git, Azure DevOps, GitHub) and collaborative development practices.
Working knowledge of natural gas distribution and utility data systems (billing, AMI, SCADA) and understanding of data quality needs across operational systems.
Friendly, solution-oriented team player aligned with Summit’s PEAKS values.
Master’s degree in a quantitative field is preferred.

Technologies

dbt
Microsoft Fabric
Azure SQL
SQL
Azure DevOps
Git
GitHub
dbt_utils
dbt_expectations
YAML
CSV
JSON
XML
SAP
ETL
ELT

Benefits

Competitive pay
Medical/dental/vision and other benefits

Location and Work Setup

Fayetteville, AR (hybrid). This hybrid role may be based in one of Summit Utilities’ offices in Little Rock, Fort Smith, or Fayetteville, Arkansas.

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Today

Senior FactoryTalk Systems Engineer

E Tech Group Portsmouth, NH

Portsmouth, NH

Today

Full time Senior Automation Control Systems

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Job Description

Senior FactoryTalk Systems Engineer role focused on process automation engineering, system integration, and GMP-ready FactoryTalk applications.

Responsibilities

Lead or support project teams for the design, configuration, and testing of systems that support robust operation, maintenance, and recovery of complex, distributed industrial automation systems.
Provide solutions to project leadership and/or customers within the project team, with a high priority on customer satisfaction and forward-looking technology decisions.
Adjust to a flexible work schedule and travel as needed to support design, development, and start-up activities at client facilities.
Act as an ambassador aligned with E Tech Group Core Values, emphasizing success for the company, clients, and professional development of associates.

Requirements

5+ years of experience in industrial automation systems.
GMP systems experience strongly preferred.
BS Engineering.
Detail oriented with strong technical aptitude and a desire to learn new technologies.
Knowledge of industry and regulatory standards, including design criteria and codes relevant to Instrumentation and Controls.
Familiarity with standards: ISA S88 Batch standard.
Familiarity with standards: ISA S95 Controls System Architecture standard.
GAMP 5 & cGMP experience.
21 CFR Part 11 knowledge.
Demonstrated ability to develop process control system applications, provide control system startup services, troubleshoot existing systems, and perform control system qualification.
Expertise designing, implementing, maintaining, and troubleshooting virtual server-based control system architectures, including understanding of control system network topology.
Knowledge of process instrumentation specification, installation and troubleshooting, and control panel design, including check-out, commissioning, and troubleshooting.
Collaboration and teamwork (a “DNA comprised of collaboration and teamwork”).

Experience and Technical Focus

Designing, deploying, and maintaining Rockwell FactoryTalk AssetCentre and related applications in a GMP environment.
Interfacing and bridging data across automation and enterprise systems, including PLC systems, HMI platforms, and SQL databases.
Implementing distributed systems on virtualization platforms.

Technologies

Rockwell FactoryTalk AssetCentre
PLC systems
HMI platforms
SQL databases
Virtualization platforms

Benefits

401k + match with prompt enrollment.
Prompt enrollment into Medical, Dental, and Vision benefits.
Generous paid time off: paid vacation, paid holidays, paid family leave, and sick time off.
Learning and growth supported through training and continuing education from day one.

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Today

Senior Data Engineer

Vytwo Minneapolis, MN

Minneapolis, MN

Today

Full time Senior Big Data Bigdata

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Job Description

Vytwo is hiring a Senior Data Engineer to help design and maintain scalable data pipelines and keep Databricks and Spark workloads running efficiently for analytics-ready data. This role is based in Minneapolis, MN (onsite), with flexible work from home options available.

Responsibilities

Design, develop, and maintain scalable data pipelines using Apache Spark with PySpark and/or Scala
Build and optimize Databricks data workflows, including Delta Lake, notebooks, and scheduled jobs
Ingest, transform, and curate large-scale structured and semi-structured datasets
Perform performance tuning and cost optimization for Spark workloads and Databricks clusters
Implement data quality checks, monitoring, and error handling
Collaborate with analytics and business stakeholders to deliver well-modeled, analytics-ready data
Support batch processing and, where applicable, streaming data pipelines
Follow best practices for testing, documentation, security, and version control

Requirements

5+ years of experience in Data Engineering or a related role
Strong hands-on experience with Apache Spark (with PySpark or Scala)
Proven experience working in Databricks environments
Strong SQL skills and experience with relational and analytical databases
Experience building and maintaining ETL/ELT pipelines at scale
Familiarity with modern data lake architectures (including Delta Lake preferred)
Experience with Git-based version control
Must be a U.S. Citizen
Must be currently located in Minnesota (MN), or willing to relocate

Technology Focus

Apache Spark, PySpark, Scala, Databricks, Delta Lake, Git, SQL

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Today

Principal Data Engineer, Product Data

Okta San Francisco, CA

San Francisco, CA

Today

$197k - $271k/yr Full time 3d Design Tools Apache Airflow Big Data

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Job Description

Okta is building scalable, reliable product behavioral and telemetry data platforms, and the Principal Data Engineer, Product Data role is at the center of that effort. This position focuses on architecting data solutions that product teams can trust, with an emphasis on data availability, integrity, and governance across globally distributed initiatives. If you enjoy turning complex data challenges into dependable systems, this hybrid role in San Francisco, CA offers a chance to lead technical direction while raising the quality bar for data-driven decision making.

What you’ll do

Design, build, and evolve high scale data solutions that act as reference architecture and simplify how data is accessed across the organization.
Create data quality frameworks, including monitoring, anomaly detection, and alerting, with strong governance, lineage tracking, and change management aligned to externally reported numbers.
Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards.
Lead cross-functional technical initiatives across data verticals to accelerate delivery and strengthen the resilience of data systems.
Operate effectively in ambiguity by making sound technical decisions that balance near-term delivery with long-term infrastructure investment.
Champion data contracts by implementing data contract practices and schema evolution approaches to support reliability across global product teams.
Mentor and scale impact by raising the technical bar, mentoring senior engineers, leading cross-functional task forces, and fostering engineering excellence.
Stay current with the data landscape and advocate for emerging technologies and practices to guide long-term technical direction.

What you bring

10+ years of data engineering experience in a senior or lead capacity. Federal government compliance and security requirements experience is highly desirable.
Deep expertise in product behavioral data engineering, especially telemetry data for structured launch analysis, feature usage, retention, and other key product lifecycle metrics.
Proven experience partnering with Product Engineering teams on successful instrumentation for data collection.
Expert-level experience with SQL, ETL/ELT tools (Airflow, dbt), and MPP databases (Snowflake, Redshift), plus extensive hands-on experience with AWS services (S3, Lambda, EMR, ECR, EKS).
Deep experience with lakehouse architectures (Databricks) and modern file formats (Iceberg, Delta).

Tech stack

SQL, Airflow, dbt, Snowflake, Redshift, AWS S3, AWS Lambda, AWS EMR, AWS ECR, AWS EKS, Databricks, Iceberg, Delta

Okta experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

Salary Range: USD 197,000 - 270,600 per year

Location: San Francisco, CA (hybrid)

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Today

Applied AI Engineer II

Deloitte Hermitage, TN

Hermitage, TN

Today

$89k - $182k/yr Full time Backend Developer Agentic Ai Ai Agent Platform

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Job Description

Deloitte is hiring an Applied AI Engineer II in Hermitage, TN for an onsite role. In this position, you will build and improve high-visibility full-stack products by embedding GenAI and agentic capabilities across the delivery lifecycle, with a strong focus on outcome-driven engineering and cloud cost-aware development.

This role combines technical leadership, hands-on implementation, and cross-functional execution, including requirement analysis, component design, testing, integrations, and ongoing support. You will own key aspects of what you ship, including inference, token, and cloud costs, while ensuring code integrity and alignment with business and customer goals.

Responsibilities

Drive a culture of accountability for both customer and business outcomes, and the cost of achieving them.
Develop engineering solutions for complex problems, using lean designs and implementations, and maintain ownership of inference, token, and cloud cost for the work you build.
Act as a technical advocate for products, supporting code integrity, feasibility, and alignment with business and customer goals.
Participate in requirement analysis, component design, development, testing, integrations, and support.
Maintain accountability for code design integrity, implementation fidelity to the architecture and tech stack, quality, data, and ongoing maintenance and operations.
Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks.
Create technical specifications and write high-quality, supportable, scalable code while meeting or exceeding relevant quality KPIs.
Use rapid, inexpensive experimentation to develop lean solutions that address customer needs.
Engage with customers and product teams before, during, and after delivery to help ensure the right solution is delivered at the right time.
Work with empowered, cross-functional teams including product management, experience, and delivery.
Balance feasibility, viability, usability, and value by integrating diverse perspectives and building consensus.
Apply modern software engineering practices to enable daily product deployments using full automation from discovery to production to operations with quality checks across the SSDLC lifecycle.
Translate business and user needs, architectures, and UX/UI designs into technical specifications and code.
Demonstrate strong communication and the ability to articulate complex technical concepts and trade-offs with evidence.
Support technical debt payoff, collaborate effectively, and help create coherent narratives connecting technical solutions to business objectives.
Learn quickly and build domain-specific knowledge relevant to the business or product.

Requirements

Bachelor’s degree in computer science, software engineering, data science, machine learning, or a related discipline (experience is the most relevant factor).
3+ years of experience with many of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit testing frameworks.
2+ years building AI/ML and agentic applications, including hands-on GenAI work across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
2+ years of cloud-native engineering experience using FaaS, PaaS, or micro-services on Azure, AWS, or GCP, including AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).
Prior software engineering experience with concepts including Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and AI-augmented spec-driven development.
Experience with methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (for example, LangFuse, LangSmith or equivalent multi-agent orchestration tools) to deliver high-quality products rapidly.
Must be located within commutable distance to one of the select locations for this role.
Ability to work in your local office at least 3 days per week.
Ability to travel 10% on average.
Limited immigration sponsorship may be available.