MySQL

MySQL Data Jobs

3 jobs found

1mo ago

Sr. Data Engineer, Energy, Sales, & Services

Tesla Fremont, CA

Fremont, CA

1mo ago Closed

$120k - $216k/yr Full time Senior Analytics Apache Airflow

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

What Tesla offers

Medical plans with multiple options and no employee contribution required
Benefits for family-building, fertility, adoption, and surrogacy
Dental (including orthodontics) and vision plans with options that require no payroll deduction
Employer Health Savings Account contributions when enrolled in a high deductible plan with HSA
Healthcare and Dependent Care FSAs
401(k) with company match and Employee Stock Purchase Plan plus other financial benefits
Company-paid Basic Life and AD&D coverage
Short-term and long-term disability insurance with a 90 day waiting period
Employee Assistance Program
Sick and vacation time, with flex time for salaried roles and accrued hours for hourly roles, plus paid holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
Weight loss and tobacco cessation programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

Compensation

Salary range of $120,000 to $216,000 per year, plus cash and stock awards and benefits. The final offer may vary based on location, experience, and qualifications, and the overall package may include other elements. Details are provided with an employment offer.

What to expect in this role

We are seeking a technically exceptional, business‑driven data engineer who operates at the crossroads of data innovation and clean energy impact. If using data to advance renewable energy, especially solar and energy storage, motivates you, this is the role to help build the intelligent infrastructure that powers a sustainable future.

As a Senior Data Engineer, you will connect state‑of‑the‑art data infrastructure with solar and storage initiatives. You will turn data into a strategic asset that optimizes generation, storage, distribution, and grid reliability, driving sustainability outcomes.

You will design and implement scalable data pipelines to process both real‑time and historical data, manage complex datasets, and collaborate with business stakeholders, energy analysts, and operations teams. Your work will enable automation, innovation, and data‑driven decisions across the energy business.

Responsibilities

Design and deploy automated data solutions for teams across sales, operations, fulfillment, inventory, fleet, service, finance, and accounting
Own ideas from design through production, partnering with stakeholders and cross‑functional teams
Develop, manage, and optimize high‑performance ETL pipelines that turn complex datasets into clean, reliable information
Build and refine dimensional data models, such as star schemas, to enable robust reporting and analytics
Write and optimize scripts, processes, and jobs to streamline data operations and remove bottlenecks
Explore new tools, frameworks, and real‑time processing technologies to keep the data platform current
Champion best practices in coding, documentation, and technical quality
Ensure data quality, accuracy, and availability through validation, monitoring, and governance processes

Requirements

Strong SQL expertise and hands‑on experience with relational databases such as SQL Server, MySQL, Vertica, and others
Experience integrating and consuming APIs
Ability to leverage AI tooling as part of solution development
Practical experience with data warehousing and dimensional modeling for large‑scale systems
Proficiency in Python programming
Familiarity with distributed systems (Kafka, Spark, Iceberg) and NoSQL/document stores (MongoDB)
Know-how with ETL orchestration tools (Airflow, Luigi) and visualization platforms (Power BI, Tableau, Looker, SSRS)
Excellent communication skills to translate complex data solutions into business value
Background in energy solar and storage is a plus, but curiosity and a problem‑solving mindset matter most

Technologies

SQL
SQL Server
MySQL
Vertica
APIs
Python
Kafka
Spark
Iceberg
MongoDB
Airflow
Luigi
Power BI
Tableau
Looker
SSRS

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2mo ago

Data Engineer (Mid–Senior Level)

Smart Meter LLC Tampa, FL

Tampa, FL

2mo ago Closed

$90k - $110k/yr Full time Python Senior Analytics

This position is no longer accepting applications (closed Jun 18, 2026).

Job Description

Smart Meter LLC is seeking a hands-on Data Engineer to design, build, and maintain data pipelines and systems that support analytics, reporting, and operational workflows. This mid-senior level role emphasizes strong SQL and Python skills, a focus on data quality, and scalable infrastructure, with the position based onsite in Tampa, Florida.

Responsibilities

Design, develop, and maintain ETL/ELT pipelines that ingest data from internal systems and external APIs.
Create Python based data processing workflows to extract, transform, and load structured data across systems.
Optimize SQL queries, database schemas, indexes, and transformations to support analytics and operations.
Integrate data across PostgreSQL, MySQL, and data warehouse platforms.
Support batch and real time data pipelines to ensure reliable and timely data processing.
Implement validation, monitoring, and alerting to maintain data quality and pipeline reliability.
Troubleshoot data pipeline failures, data inconsistencies, and performance issues.
Collaborate with engineering, analytics, and business stakeholders to deliver dependable data solutions.
Develop analytics ready datasets to support business intelligence, reporting, and data driven decisions.
Design scalable data models and warehouse schemas to support analytics and downstream applications.
Automate and orchestrate data workflows and pipeline processes to improve efficiency and reliability.
Contribute to data platform standards, documentation, and engineering best practices across the data ecosystem.

Requirements

3–5 years of experience in data engineering, data platform engineering, or related roles.
Bachelor’s degree in Computer Science, Data Engineering, Business Analytics, or a related field, or equivalent experience.
Strong proficiency in SQL and relational databases.
Experience building data pipelines and automation using Python.
Hands-on experience with PostgreSQL, MySQL, or similar relational databases.
Experience integrating data from multiple systems and APIs.
Strong analytical and troubleshooting skills.
Experience working in production data environments with high reliability requirements.
Experience with GitHub or similar version control systems.
Experience with data streaming technologies such as Kafka or similar.

Technologies

Python
SQL
PostgreSQL
MySQL
Kafka
GitHub

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Retirement plan
Vision insurance

Pay

USD 90,000.00 - 110,000.00 per year

Work Location

Onsite in Tampa, FL

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2mo ago

Data Engineer (Bid Role starting in 10 weeks) - TS/SCI w/ Poly

Leading Path Consulting McLean, VA

McLean, VA

2mo ago Closed

$175k - $275k/yr Contract Apache Airflow Automation AWS

This position is no longer accepting applications (closed Jun 16, 2026).

Job Description

Leading Path Consulting has a Data Engineer bid role for a planned start in ten weeks. The position is based onsite in McLean, VA, with a salary range of USD 175,000 to 275,000 per year, and a focus on assessing, designing, and implementing robust data infrastructure and pipelines across the organization, emphasizing data quality, observability, and governance. This bid role requires an active TS/SCI with FS poly.

Responsibilities

Conduct comprehensive assessments of current data pipelines, infrastructure, and data flows, including integrations with ServiceNow, network-management tools, and business applications, to identify technical debt, bottlenecks, and reliability issues.
Evaluate current data architecture against industry best practices and organizational needs; develop technical recommendations and a roadmap for data infrastructure improvements.
Design, implement, and maintain production-grade data pipelines using orchestration platforms such as Airflow or Prefect.
Develop resilient ETL and ELT processes from diverse sources including SaaS platforms, network management systems, databases, APIs, files, and streams.
Build API integrations with authentication methods (OAuth, API keys, SSO), plus rate limiting, pagination, retry logic, and error handling.
Extract data from systems not designed for export, reverse-engineering undocumented data structures and relationships.
Manage semi-structured data (JSON and XML) and transform it into structured datasets with consistent schemas.
Design dimensional models, data warehouses, and data marts following industry methodologies.
Create conceptual, logical, and physical data models optimized for query performance and storage efficiency.
Implement slowly changing dimensions and other data warehousing patterns.
Establish naming conventions, data standards, and modeling best practices.
Implement comprehensive data quality checks, validation rules, and automated monitoring with alerting.
Embed error handling, failure recovery, logging, and observability into all processes.
Optimize pipelines for performance, cost, and resource utilization.
Develop reusable components and frameworks; refactor legacy pipelines for reliability.
Build and maintain data infrastructure on cloud platforms (AWS, Azure, or GCP) using infrastructure-as-code with Terraform and CloudFormation.
Implement CI/CD pipelines, version control with Git, and automated testing frameworks.
Manage database performance tuning, indexing, partitioning, and capacity planning.
Establish backup, recovery, security controls, access controls, and compliance measures.
Partner with analysts, software developers, and business stakeholders to translate requirements into technical solutions.
Create comprehensive documentation for systems, processes, and integrations.
Provide technical guidance on data availability and proper usage; enable self-service access.
Troubleshoot pipeline failures, performance issues, and data discrepancies; perform root cause analysis.

Requirements

Active TS/SCI with FS poly required prior to application.
Proven experience building and managing data pipelines.
Hands-on experience with Python.
Experience with cloud computing using AWS services.
Experience processing data with Apache Spark.
Experience with a relational database management system (PostgreSQL, Oracle, MySQL) and writing SQL queries.
Experience working in Linux environments and with shell scripting.
Experience analyzing data in formats such as CSV, XML, JSON, Avro, Parquet, etc.
Experience writing and validating unit tests.

Technologies

Airflow
Prefect
Python
AWS, Azure, GCP
Apache Spark
PostgreSQL
Oracle
MySQL
Linux
Shell scripting
JSON, XML, Avro, Parquet
OAuth, Single Sign-On (SSO)
Terraform, CloudFormation
Git
ServiceNow
NetIM
Forward Networks
Hive
Iceberg
EMR

Benefits

Fully paid medical, dental, and vision premiums
Generous paid time off
11 paid holidays
6% 401(k) contribution
Annual training and tuition reimbursement
SPOT Award bonuses
Regular team events
Opportunities for professional growth and advancement

Travel

Travel is anticipated for this contract, pending sponsor approval. Local travel or point-of-view travel within the local place of performance is expected on an as-needed basis.

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MySQL Data Jobs

Sr. Data Engineer, Energy, Sales, & Services

Data Engineer (Mid–Senior Level)

Data Engineer (Bid Role starting in 10 weeks) - TS/SCI w/ Poly

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