data engineering specialist

Halan - حالا

<div>
 <p>
  Job Overview:
 </p>
 <p>
  We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development.
 </p>
 <p>
  Key responsibilities:
 </p>
 <p>
  &bull; Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.
 </p>
 <p>
  &bull; Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, MongoDB, and PostgreSQL, to enhance performance, scalability, and efficiency.
 </p>
 <p>
  &bull; Understand and optimize hardware and resource consumption for data engineering projects.
 </p>
 <p>
  &bull; Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.
 </p>
 <p>
  &bull; Design and architect high-performance, fault-tolerant, and scalable data pipelines.
 </p>
 <p>
  &bull; Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.
 </p>
 <p>
  &bull; Mentor and guide junior team members, fostering a culture of continuous learning and skill development.
 </p>
 <p>
  &bull; Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects.
 </p>
 <p>
  Requirements:
 </p>
 <p>
  &bull; 2-3 years of professional experience as a Software Engineer, with a focus on data engineering.
 </p>
 <p>
  &bull; Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.
 </p>
 <p>
  &bull; Proven ability to work effectively in an Agile development environment and manage multiple priorities.
 </p>
 <p>
  &bull; Strong problem-solving, analytical thinking, communication, and collaboration skills.
 </p>
</div>


Data Engineer

Tata Consultancy Services

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   6+ years of data engineering experience
  </li>
  <li>
   3+ year of experience working in a data engineering, data science, or software engineering capacity
  </li>
  <li>
   Expertise in writing and maintaining robust data pipelines in SQL and Python
  </li>
  <li>
   A track record of turning data requirements from stakeholders into actionable plans
  </li>
  <li>
   Experience with cloud-native solutions
  </li>
  <li>
   A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale.
  </li>
  <li>
   Extensive experience with AWS, Google Cloud Platform (GCP), or Azure.
  </li>
  <li>
   Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow.
  </li>
  <li>
   Strong skills in Python, Java, or Scala.
  </li>
  <li>
   Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  TCS Employee Benefits Summary
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Discretionary Annual Incentive.
  </li>
  <li>
   Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
  </li>
  <li>
   Family Support: Maternal &amp; Parental Leaves.
  </li>
  <li>
   Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
  </li>
  <li>
   Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
  </li>
  <li>
   Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
  </li>
  <li>
   Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
   <br/>
   <br/>
  </li>
 </ul>
 Salary Range-$120,000-$144,000 a year
 <br/>
 <br/>
</div>


Data engineer

KPMG

<div><p>The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.</p>
<p>KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice.
</p><h3 class="jobSectionHeader"><b>Responsibilities:</b></h3><ul><li>
Utilize data wrangling tools and coding languages such as Python, PySpark, and SQL to extract valuable insights from data through analytics</li><li>
Assist in technical processes from ideation to delivery: Research, experiment, and utilizing data methodologies to build pipelines / scalable analytic tools using leading technologies</li><li>
Regularly conduct peer code reviews to ensure code quality and provide expert documentation / operating guidance for users</li><li>
Execute data operations essential for analysis, including tasks such as data cleansing, data integration, and data transformation</li><li>
Develop data engineering designs and translate efforts between business / technical stakeholders</li><li>
Monitor performance and reliability of data systems, identifying / resolving issues while proactively optimizing logic and model performance by code tuning, streamlining, resource allocation</li></ul>
<h3 class="jobSectionHeader"><b>Qualifications:</b></h3><ul><li>
A minimum of three years of technical data engineering experience; U.S. Federal government consulting experience preferred</li><li>
Bachelor's degree from an accredited college/university</li><li>
Experience with programming languages (Python, PySpark, SQL)</li><li>
Experience with data quality management: Ability to ensure data integrity, accuracy, consistency through data validation, cleansing, and error handling techniques</li><li>
Experience with data processing / ETL knowledge: Extract, Transform, Load (ETL) processes and tools for data ingestion, integration, transformation</li><li>
Expertise with development tools / methodologies (Agile, git, test driven development, CI/CD release management)</li><li>
Proven ability to rapidly ingest, transform, engineer, and visualize data</li><li>
Ability to travel as required to support firm engagements</li><li>
Applicant must possess a U.S. Government Secret clearance</li></ul>
<div><div>KPMG LLP and its affiliates and subsidiaries (&ldquo;KPMG&rdquo;) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits &amp; How We Work.</div><div></div><div><br>
Follow this link to obtain salary ranges by city outside of CA:</div></div>
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M101_4_25
<p>KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p><p>
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.</p><p>
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p></div>

Senior Specialist, Federal Data Engineer

AlphaBOLD

<div><h2 class="jobSectionHeader"><b>JOB SUMMARY</b></h2>
<p>
Alphabold is looking for a skilled Data Engineer with 3&ndash;5 years of experience to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have strong expertise in data processing, database systems, and cloud platforms, enabling efficient data flow and analytics across the organization.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<ul><li>Design, develop, and maintain scalable ETL/ELT data pipelines</li>
<li>Build and optimize data architectures, data lakes, and data warehouses</li>
<li>Ensure data quality, integrity, and reliability across systems</li>
<li>Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions</li>
<li>Develop and manage batch and real-time data processing systems</li>
<li>Monitor and troubleshoot data pipeline performance and failures</li>
<li>Implement data governance, security, and compliance best practices</li>
<li>Automate workflows and improve data engineering processes</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h3>
<ul><li>3&ndash;5 years of experience in data engineering or related roles</li>
<li>Strong proficiency in SQL and Python (or Scala/Java)</li>
<li>Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica)</li>
<li>Experience with big data technologies such as Apache Spark, Hadoop, or Kafka</li>
<li>Solid understanding of data warehousing concepts and modeling (Star/Snowflake schema)</li>
<li>Experience with cloud platforms like AWS, Azure, or Google Cloud</li>
<li>Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)</li>
<li>Experience with version control systems (e.g., Git)</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul><li>Experience with containerization tools like Docker and orchestration tools like Kubernetes</li>
<li>Knowledge of CI/CD pipelines and DevOps practices</li>
<li>Familiarity with data visualization tools (e.g., Power BI, Tableau)</li>
<li>Understanding of streaming data systems and real-time analytics</li>
</ul><h3 class="jobSectionHeader"><b>Soft Skills</b></h3>
<ul><li>Strong problem-solving and analytical skills</li>
<li>Good communication and collaboration abilities</li>
<li>Ability to work in a fast-paced, agile environment</li>
<li>Attention to detail and commitment to data accuracy</li>
</ul><h3 class="jobSectionHeader"><b>Education</b></h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Have</b></h3>
<ul><li>Certifications in cloud platforms (AWS, Azure, GCP)</li>
<li>Experience working with large-scale distributed systems</li></ul></div>

AGM Tech Solutions - A Woman and Latina-owned IT Staffing Firm-an Inc. 5000 company

<div>
 <p>
  <strong>
   Role: Data Engineer
  </strong>
 </p>
 <p>
  <strong>
   Location: Parsippany, NJ (Hybrid)
  </strong>
 </p>
 <p>
  <strong>
   Duration: 3 months Contract (Short-term)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Onsite Interview is a Must
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <p>
  8+ years of experience in data engineering or a related field.
 </p>
 <p>
  Strong hands-on experience with Databricks.
 </p>
 <p>
  Proficiency in PySpark and SQL for large-scale data processing.
 </p>
 <p>
  Experience working with AWS services, particularly DynamoDB and AWS Glue.
 </p>
 <p>
  Demonstrated experience developing and maintaining production-grade data pipelines.
 </p>
 <p>
  Solid understanding of distributed data processing and data architecture principles.
 </p>
 <p>
  Strong problem-solving skills and the ability to work in a fast-paced engineering environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Pay Range: $60 - $70/hour
  </strong>
 </p>
</div>


Meta

<div>
 Meta&rsquo;s Products &amp; Applied Research (PAR) team is where product-focused research meets real-world impact, taking breakthrough AI research and transforming it into products that reach billions. As part of Meta Superintelligence Labs (MSL), we&rsquo;re driving the transformation of Meta&rsquo;s core experiences&mdash;across Facebook, Instagram, WhatsApp, Threads, and beyond&mdash;by applying cutting-edge research to real-world products at massive scale.We are looking for a Data Engineer to join our PAR organization where your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 <br/>
 <br/>
 Data Engineer, PAR Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  </li>
  <li>
   Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  </li>
  <li>
   Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
  </li>
  <li>
   Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  </li>
  <li>
   Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  </li>
  <li>
   Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  </li>
  <li>
   Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  </li>
  <li>
   Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  </li>
  <li>
   Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  </li>
  <li>
   Influence product and cross-functional teams to identify data opportunities to drive impact
  </li>
  <li>
   Mentor team members by giving/receiving actionable feedback
   <br/>
   <br/>
  </li>
 </ul>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  </li>
  <li>
   4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  </li>
  <li>
   4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Master's or Ph.D degree in a STEM field
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
   <br/>
   <br/>
  </li>
 </ul>
 About Meta:
 <br/>
 <br/>
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 <br/>
 <br/>
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 <br/>
 <br/>
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 <br/>
 <br/>
 $147,000/year to $208,000/year + bonus + equity + benefits
 <br/>
 <br/>
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
</div>


Data Engineer, PAR

<div>
 As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 <br/>
 <br/>
 Data Engineer, Product Analytics Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  </li>
  <li>
   Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  </li>
  <li>
   Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  </li>
  <li>
   Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  </li>
  <li>
   Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  </li>
  <li>
   Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  </li>
  <li>
   Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  </li>
  <li>
   Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  </li>
  <li>
   Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  </li>
  <li>
   Influence product and cross-functional teams to identify data opportunities to drive impact
  </li>
  <li>
   Mentor team members by giving/receiving actionable feedback
   <br/>
   <br/>
  </li>
 </ul>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  </li>
  <li>
   4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  </li>
  <li>
   4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Master's or Ph.D degree in a STEM field
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
   <br/>
   <br/>
  </li>
 </ul>
 About Meta:
 <br/>
 <br/>
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 <br/>
 <br/>
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 <br/>
 <br/>
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 <br/>
 <br/>
 $147,000/year to $208,000/year + bonus + equity + benefits
 <br/>
 <br/>
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
</div>


Data Engineer, Product Analytics

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