Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. Netflix is re-imagining entertainment with over 270 million paid memberships in over 190 countries on millions of devices. One of the ways we do this is by using insights from data to optimize for the best customer experience. The Growth Insights and Foundations Data Engineering team ensures the availability of critical data to enhance "in-the-moment" experiences across various product canvases for both current and future Netflix members.In this role, you will partner closely with data scientists and other engineers to build low-latency data products capable of powering algorithms and machine learning models that run across our commerce, identity flows, and more. This role is ideal for an individual with an analytically bent mind coupled with a robust engineering background who can develop highly available and reliable distributed data systems and services to ensure the timely delivery of high-quality data for use in the Netflix product.About you: <ul> <li>You are proficient in at least one major language preferably on the JVM stack (e.g., Java, Scala) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies. </li><li>You have a product mindset and are curious to understand the business's needs. You have a naturally collaborative style to work with product management, data science, engineering, etc in service of these needs. </li><li>You possess a strong data intuition and know how to apply your analytical skills and data engineering fundamentals to support building high quality data products. </li><li>You have experience building applications that use large-scale distributed systems, data processing frameworks (batch and real-time) e.g. Spark, Flink, etc., and storage solutions. </li> <li>You are passionate about making data available for self-service, and wider integration. You have knowledge about transport protocols and are well-versed with building APIs/services and frameworks used for them e.g. Spring, gRPC etc. </li><li>You have experience in supporting and maintaining products that run 24x7, ensuring high availability and reliability. </li><li>You can craft scalable systems and solutions to realize a range of product and engineering goals. </li> <li>You have a strong operational awareness and design multi-tenant systems that can handle high-scale and high-throughput demands while being easy to operate, monitor, scale, and maintain. </li><li>You prioritize observability in your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution. </li><li>You own what you build, beyond just your code and have a passion for quality. </li><li>You are comfortable working in the most agile of environments with vague requirements. You are nimble and can pivot easily when needed. You are unafraid to take smart risks. </li><li>You relate to and embody many aspects of Netflix's Culture. You love working independently while also collaborating and giving/receiving candid feedback. </li></ul> Learn more about the team, and technologies you'd get to work with!Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies. At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks. Job Description: In your role as an Azure Data Engineer, you will be responsible for expanding and optimising data and pipeline architectures, and for optimising data collection and flow across functional teams. Your responsibilities include assisting software developers, database architects, data analysts, and data scientists with data initiatives and ensuring a consistent data delivery architecture is put in place throughout ongoing projects. Responsibilities <ul> <li>10+ Years of Data Experinece with Data Bricks experience is required.</li> <li>Assure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements</li> <li>Develop and maintain innovative Azure solutions</li> <li>Solution design using Microsoft Azure services and other tools</li> <li>The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)</li> <li>Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications</li> <li>Build data pipelines to collectively bring together data</li> <li>Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse</li> </ul>Tech Stack<ul> <li>Python</li> <li>SQL and NoSQL databases</li> <li>Scala</li> <li>Spark-SQL</li> <li>Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates</li> </ul>Qualifications<ul> <li>Previous experience as an Azure Data Engineer or similar role</li> <li>Experience building and optimising 'big data' data pipelines, architectures, and data sets</li> <li>Strong analytic skills related to working with unstructured datasets</li> <li>The ability to design and implement well written code</li> <li>Ability to work to tight deadlines</li> <li>Ability to test the data from source to the presentation layer</li> <li>Ability to support/troubleshoot data pipelines</li> <li>Confident and concise communication skills, with the ability to drive alignment, collaboration, and efficiency</li> </ul> For information on the compensation range for the job and an overview on benefits that HTC Global Services offers please email compensationrange@htcinc.com. The salary, other compensation and benefits information shared by HTC would be accurate as of the date of sharing the information. The disclosed range would consider factors not limited to, geographic location, educational qualification, relevant experience, certifications, skills, suitability/fit for the role, and business or organizational needs. HTC Global services reserves the right to modify the ranges at any time, subject to applicable law.

Job Title Mid Data Engineer Location Washington, DC 20032 US (Primary) Category Research, Development, and Engineering Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel None Security Clearance Required TS/SCI with CI Polygraph Job Description Prescient Edge is seeking a Mid. Data Engineer to support a federal government client. Benefits: At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes: <ul> <li>A competitive salary with performance bonus opportunities. </li><li>Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. </li><li>A substantial retirement plan with no vesting schedule. Career development opportunities, including on-the-job training, tuition reimbursement, and networking. </li> <li>A positive work environment where employees are respected, supported, and engaged. </li></ul>Description: <ul> <li>Designs, implements, and operates data management systems for intelligence needs. </li> <li>Designs how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems. </li> <li>Works with data users to determine, create, and populate optimal data architectures, structures, and systems. </li> <li>Plans, designs, and optimizes data throughput and query performance. </li> <li>Participates in the selection of backend database technologies (e.g. SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness. </li><li>Supports defense analytical requirements with enhanced scientific/engineering research, capability limitation analysis, reverse engineering analysis/characterizations, facility, and vulnerability assessments. </li> <li>Analysis and production include, but is not limited to, complex foreign electronic systems, subsystems, facilities and/or equipment and can emphasize one or more area(s) pertaining to electric power, microelectronics, electronic hardware, circuits, sensors, guidance and control, signals, electromagnetic, electro-optical (EO)/infrared (IR) and/or similar areas associated with current and projected electronic systems and/or subsystems. This includes, but is not limited to, electrical engineering and sub-disciplines of computer, electronic, optical, and power engineering. </li> </ul>Job Requirements Desired experiences: <ul><li>At least 8 years of experience conducting analysis relevant to the specific labor category with at least a portion of the experience within the last 2 years. </li> <li>Demonstrates comprehensive mission knowledge and skills that affirms completion of all developmental training and experiences for the labor category. </li><li>Demonstrates ability to communicate understanding from information that may be incomplete, indirect, highly complex, seemingly unrelated, and / or technically advanced. </li> <li>Demonstrates ability to work independently with minimal oversight and direction. </li> <li>Demonstrates ability to collaborate and work with other IC members on information sharing, driving collection, and addressing analytic disputes and conflict resolution. </li></ul>Desired education: <ul><li>Bachelor's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education. </li> <li>An additional 4 years of experience in the specific labor category, for a total of 12 years of experience in the specific labor category, may be substituted for a bachelor's degree. </li> </ul>Security Clearance: <ul><li>Security clearance required TS/SCI with CI POLY or the ability to obtain CI POLY. </li></ul>Location: <ul> <li>Washington, DC (DIA HQ). </li></ul> Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

We're looking for a Data Engineer to join our ML PlatformTeam!

What you'll do:

Work closely with stakeholders in engineering, product, data science, and governance to make high quality datasets available to consumers in a timely manner

Develop scalable data ETL pipelines that automate manual data processes, optimize data delivery, and adhere with privacy and governance principles

Implement and manage data warehousing solutions and ensure data integrity and quality through rigorous testing and validation

Build expertise and ownership of data quality and data governance for supported domains

Build tooling and implement systems to overcome limitations of the data consumption portals when appropriate

Implement and maintain data security practices to ensure data privacy and protection, and compliance with data governance policies and regulations.

Support and maintain data pipelines and tooling with on-call responsibilities

Knowledge, Skills & Abilities:    Experience in building data pipelines to serve reporting needs

Experience owning all or part of a team roadmap

Ability to prioritize requests from multiple stakeholders in disparate domains

Ability to effectively communicate complex projects to non-technical stakeholders

Minimum Qualifications:   BS/BA degree in Computer Science, Math, Physics, or a related field, or equivalent years of experience in a relevant field

7+ year experience in SQL or similar languages

7+ years development experience in at least one object-oriented or scripting language (Python, Java, Scala, etc)

Preferred Qualifications:    Hands-on experience with Google BigQuery, Spark, and Hadoop

Experience in version control systems such as Git, and workflow management tools such as Airflow

Experience in ETL tools and data architecture and warehousing experience

Experience leading a small team of data or software engineers

Strong analytical and problem-solving skills

Excellent communication and teamwork abilities

Attention to detail and commitment to data quality

If you have a disability or special need that requires accommodation, please don't be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.

Zone A (CA, WA, NYC):
The base salary range for this position is $202,000-$303,000 annually.

Zone B:
The base salary range for this position is $192,000-$288,000 annually.

Zone C:
The base salary range for this position is $172,000-$257,000 annually.

This position is eligible for equity in the form of RSUs.

HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies. At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks. Job Description: In your role as an Azure Data Engineer, you will be responsible for expanding and optimising data and pipeline architectures, and for optimising data collection and flow across functional teams. Your responsibilities include assisting software developers, database architects, data analysts, and data scientists with data initiatives and ensuring a consistent data delivery architecture is put in place throughout ongoing projects. Responsibilities 10 Years of Data Experinece with Data Bricks experience is required. Assure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements Develop and maintain innovative Azure solutions Solution design using Microsoft Azure services and other tools The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.) Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications Build data pipelines to collectively bring together data Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse Tech Stack Python SQL and NoSQL databases Scala Spark-SQL Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Qualifications Previous experience as an Azure Data Engineer or similar role Experience building and optimising 'big data' data pipelines, architectures, and data sets Strong analytic skills related to working with unstructured datasets The ability to design and implement well written code Ability to work to tight deadlines Ability to test the data from source to the presentation layer Ability to support/troubleshoot data pipelines Confident and concise communication skills, with the ability to drive alignment, collaboration, and efficiency For information on the compensation range for the job and an overview on benefits that HTC Global Services offers please email compensationrangehtcinc.com. The salary, other compensation and benefits information shared by HTC would be accurate as of the date of sharing the information. The disclosed range would consider factors not limited to, geographic location, educational qualification, relevant experience, certifications, skills, suitability/fit for the role, and business or organizational needs. HTC Global services reserves the right to modify the ranges at any time, subject to applicable law.

About Sayari:

Sayari is the counterparty and supply chain risk intelligence provider trusted by government agencies, multinational corporations, and financial institutions. Its intuitive network analysis platform surfaces hidden risk through integrated corporate ownership, supply chain, trade transaction and risk intelligence data from over 250 jurisdictions. Sayari is headquartered in Washington, D.C., and its solutions are used by thousands of frontline analysts in over 35 countries.

Our company culture is defined by a dedication to our mission of using open data to enhance visibility into global commercial and financial networks, a passion for finding novel approaches to complex problems, and an understanding that diverse perspectives create optimal outcomes. We embrace cross-team collaboration, encourage training and learning opportunities, and reward initiative and innovation. If you like working with supportive, high-performing, and curious teams, Sayari is the place for you.

POSITION DESCRIPTION

Sayari has built best-in-class applications to structure and analyze global corporate ownership and trade relationships, supporting a strong customer base with use cases including counter-threat finance, anti money laundering, sanctions evasions, fraud, and more. As a member ofSayari's Solutions Engineering team, you will work alongside our other engineering teams to deliver these capabilities into our customers' classified networks. You'll gain a deep understanding of our data and our application stack, and assist customer engineering teams in deployment, maintenance, and scalability.

Job Responsibilities
Working with government customers in the DC area to help them ETL their data into a format which is usable by Sayari's on premise offering
Working with customers pre-sales to help them design solutions focused around Sayari's product offerings for Entity Resolution and bulk data
Working with customers post-sale to ensure that they are getting value from Sayari's bulk data product
Managing the process of producing customized bulk data products for customers and bulk data samples for prospective customers
REQUIRED SKILLS & EXPERIENCE      Experience working in classified environments. Holds a TS/SCI Full Scope Polygraph clearance.
Professional experience with Python and a JVM language (e.g., Scala)
4+ years of experience designing and maintaining ETL pipelines
Experience using Apache SparkExperience with SQL (e.g., Postgres) and NoSQL (e.g., Cassandra, ElasticSearch, etc.)databases
Experience working on a cloud platform like GCP, AWS, or Azure Experience working collaboratively with git
DESIRED SKILLS & EXPERIENCE      Understanding of Docker/Kubernetes
Understanding of or interest in knowledge graphs
Experienced in supporting and working with internal teams and customers in a dynamic environment
Passionate about open source development and innovative technology

Benefits:

• 100% fully paid medical, vision, and dental for employees and their dependents

• Generous time off; we observe all US federal holidays, close our office for a winter break (12/24-12/31), in addition to granting 18 PTO days and 10 sick days

• Outstanding compensation package; competitive commissions for revenue roles and quarterly bonuses for non-revenue positions

• A strong commitment to diversity, equity, and inclusion

• Eligibility to participate in additional benefits such as 401k match up to 5%, 100% paid life insurance (up to $100,000 coverage),, and parental leave

• A collaborative and positive culture - your team will be as smart and driven as you

• Limitless growth and learning opportunities

Sayari is an equal opportunity employer and strongly encourages diverse candidates to apply. We believe diversity and inclusion mean our team members should reflect the diversity of the United States. No employee or applicant will face discrimination or harassment based on race, color, ethnicity, religion, age, gender, gender identity or expression, sexual orientation, disability status, veteran status, genetics, or political affiliation. We strongly encourage applicants of all backgrounds to apply.

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. Equifax is searching for a Senior Data Engineer to join our world-class Entity Resolution (Keying & Linking) team within the Global Data & Analytics CoE. The ideal candidate is a rare hybrid, an engineer with the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. This role will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data. Qualified candidates will have a strong academic background in mathematics or statistics, passion for data science and data engineering. This role requires understanding large, diverse data sources and extensive experience developing data matching and Entity Resolution rules. Linking data about consumers and/or businesses will be a large part of this role. Equifax has a hybrid work schedule that allows for 2 days of remote work (Monday and Friday), with 3 days onsite (Tuesday, Wednesday, Thursday) every week. This role will work the required onsite days at our Equifax office in Alpharetta, GA or Reston, VA. Visa sponsorship or support is not available currently or in the future. No C2C. No vendors. What you will do Apply the knowledge of data characteristics and data supply pattern, develop rules and tracking process to support data quality model. Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems. Integrate, consolidate, cleanse and structure data for use by our clients in our solutions. Perform design, creation, and interpretation of large and highly complex datasets. Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions. Understand best practices for data management, maintenance, reporting and security and use that knowledge to implement improvements in our solutions. Implement security best practices in pipelines and infrastructure. Develop and implement data quality checks and troubleshoot data anomalies. Provide guidance and mentorship to junior data engineers. Review data analysis performed by junior data engineers. What experience you will need BS degree in a STEM major or equivalent discipline; Master's Degree strongly preferred. 5 years of experience as a data engineer or related role. Advanced skills using programming languages such as Python, SQL, and NoSQL and intermediate level experience with scripting languages. Intermediate level understanding and working experience with Google Cloud Platforms (preferred), AWS, or Azure and overall cloud computing concepts, as well as basic knowledge of other cloud environments. Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects. Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance. Demonstrates advanced Git usage and CI/CD integration skills. What could set you apart Knowledge of credit bureau data, and familiarity with the laws like FCRA, GLBA, and GDPR. Associate / Intermediate Cloud and/or SQL cert from GCP, DataCamp, Coursera, Microsoft, AWS, LeetCode, PluralSight, Coursera, etc. Experience or advanced degree with focus on Entity Resolution concepts, prototype or hands-on projects related to graph, vector DB, embeddings. Experience in Data Visualization and storytelling. Experience collaborating with international teams. Hands-on code development experience with strong coding ethics. LI-Hybrid LI-KD1 We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference Primary Location: USA Washington-DC (Reston VA) USA-Atlanta JV White Function: Function - Data and Analytics Schedule: Full time

Data Engineer Jobs in Pasco, WA

Data Engineer 5 Distributed Systems Growth
December 19, 2024

Azure Data Engineer
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Mid Data Engineer
December 19, 2024

Data Engineer 7 Years Of Experience
December 17, 2024

Azure Data Engineer
November 30, 2024

Classified Data Engineer On Prem
November 26, 2024

Senior Data Engineer
November 24, 2024

Azure Data Engineer
November 24, 2024

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Data Engineer Jobs in Pasco, WA

Data Engineer 5 Distributed Systems GrowthDecember 19, 2024

Azure Data EngineerDecember 19, 2024

Mid Data EngineerDecember 19, 2024

Data Engineer 7 Years Of ExperienceDecember 17, 2024

Azure Data EngineerNovember 30, 2024

Classified Data Engineer On PremNovember 26, 2024

Senior Data EngineerNovember 24, 2024

Azure Data EngineerNovember 24, 2024