data infrastructure engineer

Python Technologies

Data Engineer (5+ Years Experience)Company: Python Technologies Location: Islamabad Type: Full-time Experience: 5+ yearsAbout the RoleWe're looking for an experienced Data Engineer to design, build, and maintain the data infrastructure that powers our products and decision-making. You'll own data pipelines end to end &mdash; from ingestion through transformation to delivery &mdash; and partner with analysts, ML engineers, and product teams to make clean, reliable data available at scale.This is a hands-on role for someone who has spent the last several years building production data systems and wants ownership over architecture and quality.What You'll Do<ul><li>Design, build, and maintain scalable ETL/ELT pipelines for batch and streaming data</li><li>Develop and optimize data models and warehouse schemas for analytics and reporting</li><li>Build and manage data infrastructure on cloud platforms (AWS / GCP / Azure)</li><li>Ensure data quality, integrity, and reliability through testing, monitoring, and validation</li><li>Optimize query performance and storage costs across large datasets</li><li>Collaborate with analytics and ML teams to deliver well-structured, accessible data</li><li>Implement data governance, security, and documentation best practices</li><li>Mentor junior engineers and contribute to technical standards</li></ul>What We're Looking For<ul><li>5+ years of experience in data engineering or a closely related field</li><li>Strong SQL skills and solid programming experience in Python (or Scala/Java)</li><li>Hands-on experience building data pipelines with tools like Airflow, dbt, or similar</li><li>Experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and data lakes</li><li>Proficiency with at least one major cloud platform (AWS, GCP, or Azure)</li><li>Familiarity with big data technologies (Spark, Kafka, or similar)</li><li>Understanding of data modeling, warehousing concepts, and pipeline orchestration</li><li>Strong problem-solving skills and attention to data quality</li></ul>Nice to Have<ul><li>Experience with streaming data and real-time processing</li><li>Knowledge of containerization and orchestration (Docker, Kubernetes)</li><li>Exposure to ML/AI data workflows or feature pipelines</li><li>Infrastructure-as-code experience (Terraform, CloudFormation)</li><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field</li></ul>What We Offer<ul><li>Opportunities to work on challenging, high-impact data problems</li><li>A collaborative team and room to grow</li></ul>How to ApplySend your CVPay: Rs300,000.00 per monthWork Location: In person

Data Engineer

Great West Casualty Company

<div>Data Engineer

<div>This position is located at our corporate office in South Sioux City, NE, and offers relocation assistance to the Siouxland area. The role follows a hybrid schedule, with three days in the office and two days remote each week.</div>
<div>
</div>Are you an early‑career Data Engineer who enjoys building reliable data pipelines and wants to grow your skills in modern data platforms? Join our IT Data Management team and help shape the foundation of our data infrastructure while learning from experienced engineers and working on impactful, real‑world solutions. This is an excellent opportunity for recent Master's graduates or professionals with a few years of experience who are eager to build scalable data solutions and grow into a senior‑level role.

What You'll Do
<ul>
<li>Design, build, and maintain ETL/ELT pipelines to support analytics and reporting needs.</li>
<li>Assist in developing and enhancing data infrastructure that supports business growth.</li>
<li>Partner with data engineers, analysts, and business stakeholders to deliver high‑quality data solutions.</li>
<li>Support cloud-based data platforms and contribute to platform enhancements and optimization.</li>
<li>Apply data engineering best practices related to data quality, reliability, and performance.</li>
<li>Follow data governance, privacy, and security standards while working with sensitive data.</li>
</ul>
What We're Looking For
<ul>
<li>Master's degree in a related field or 1&ndash;3 years of relevant experience preferred.</li>
<li>Foundational experience or coursework in modern data platforms (Databricks, Snowflake, or similar).</li>
<li>Working knowledge of SQL and experience with at least one programming language such as Python.
</li><li>Understanding of data modeling concepts and data pipeline development.</li>
<li>Strong problem-solving skills, curiosity, and a willingness to learn.</li>
<li>Ability to collaborate effectively in a team-oriented environment.
</li></ul>Your Future Starts Here: Benefits That Support Your Lifestyle
<ul>
<li>Compensation includes a salary commensurate with experience.</li>
<li>Generous paid time off and paid company holiday schedule.</li>
<li>Comprehensive benefits from day one.</li>
<li>Medical, Dental, Vision, Life, Long-Term Disability, Company Match 401(k), HSA, FSA.</li>
<li>Paternal Leave, Adoption Assistance, Fertility and Family Planning Assistance, Pet Insurance, Retail Discount Programs.</li>
<li>Community volunteer opportunities.</li>
<li>Support of healthy lifestyles through a wellness program including gym subsidies.</li>
<li>Scholarships for dependents of Great West employees.</li>
<li>Tuition reimbursement for current employees.</li>
<li>Company paid continuing education and monetary awards for professional development.</li>
<li>Opportunities for a hybrid work schedule (three days in the office, two days remote).</li>
</ul>
Who we are:

For over 65 years, Great West Casualty Company has provided premier insurance products and services to thousands of truck drivers and trucking companies across America. We have offices located around the country, and nearly 1,200 professionals are proud to call us an employer of choice. We are dedicated to the success, happiness, and wellness of our employees. If you are looking for a company where your contributions are valued, your continued learning is financially supported, and customer service is a priority, we want to talk to you. Apply today and join one of America's largest insurers of trucking companies as we help keep the nation's economy moving forward one mile at a time.

Location:

South Sioux City, Nebraska
This position qualifies for relocation assistance. To learn more about Great West and our office locations, please visit our website www.gwccnet.com.

Great People

Great Careers

Great West Casualty Company

Great West Casualty Company is an Equal Opportunity Employer.</div>

<div><ul><li>Design, develop, and maintain scalable data pipelines for the efficient collection, storage, and processing of large datasets.</li><li>Develops and design best practices around data collection and maintain orchestration of data flows, for batch, near-real time data.</li><li>Participates in evaluation and deployment of big data tools, relevant to the development.</li><li>Ability to identify different platforms, techniques, and methodology used in big data platforms, and demonstrate for various system in the organization.</li><li>Optimize and tune data systems for performance and reliability.</li><li>Develop and implement data models and schemas to support business intelligence and analytics needs.</li><li>Monitor and troubleshoot data pipelines to ensure smooth and efficient operation.</li><li>Stay up-to-date with the latest advancements in data engineering and incorporate them into our data infrastructure.</li><li>Document data engineering architectures and follow best practices.</li></ul><div>
Qualifications: 
<ul><li>Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li><li>5+ years of experience as a Data Engineer or similar role.</li><li>Strong programming skills in Python.</li><li>Experience with UNIX system administration using command line.</li><li>Experience with data processing frameworks such as Airflow, Airbyte, DBT, Hadoop, Spark, Hive, and Kafka, Proficiency in SQL and experience with relational databases.</li><li>Knowledge of data modeling, ETL processes, and data warehousing solutions.</li><li>Knowledge of Structuring data in various schemas suitable for a data lake, warehouse, or marts.
</li><li>Experience in implementing scalable, reliable, and efficient data storage solutions with PostgreSQL, MinIO.</li><li>Experience in enhancing the performance of big data applications, including optimizing system operations.</li></ul></div></div>

Senior Data Engineer

AlpacaJapan株式会社

<div><div>Who We Are:

Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts.

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.

Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. 


Our Team Members:

We're a dynamic team of 380+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! 
 
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values&mdash;Stay Curious, Have Empathy, and Be Accountable&mdash;and are ready to make a significant impact, we encourage you to apply.</div><div>
Your Role: We are seeking a Senior Data Platform Engineer to design and develop the data management layer for our platform to ensure its scalability as we expand to larger customers and new jurisdictions. At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision-making for both internal and external users. We process hundreds of millions of events daily, with this number growing as we onboard new customers.

We prioritize open-source solutions in our data management approach, leveraging a Google Cloud Platform (GCP) foundation for our data infrastructure. This includes batch/stream ingestion, transformation, and consumption layers for BI, internal use, and external third-party sinks. Additionally, we oversee data experimentation, cataloging, and monitoring and alerting systems.

Our team is 100% distributed and remote.

Responsibilities:
<ul>
<li>Design and oversee key forward- and reverse-ETL patterns to deliver data to relevant stakeholders.</li>
<li>Develop scalable patterns in the transformation layer to ensure repeatable integrations with BI tools across various business verticals.</li>
<li>Expand and maintain the Alpaca Data Lakehouse architecture's constantly evolving elements.</li>
<li>Collaborate closely with sales, marketing, product, and operations teams to address key data flow needs.</li>
<li>Operate the system and manage production issues in a timely manner.</li>
</ul>
Must-Haves:
<ul>
<li>7+ years of experience in data engineering, including 2+ years of building scalable, low-latency data platforms capable of handling &gt;100M events/day.</li>
<li>Proficiency in at least one programming language, with strong working knowledge of Python and SQL.</li>
<li>Experience with cloud-native technologies like Docker, Kubernetes, and Helm.</li>
<li>Strong hands-on experience with relational database systems and object storage implementations like Apache Iceberg.</li>
<li>Strong hands-on experience with Google Cloud Platform and its various data-related services (Composer, Dataproc, Datastream, etc.)</li>
<li>Experience in building scalable transformation layers, preferably through formalized SQL models (e.g., dbt).</li>
<li>Ability to work in a fast-paced environment and adapt solutions to changing business needs.</li>
<li>Experience with ETL orchestrators / frameworks like Apache Airflow and Airbyte.</li>
<li>Production experience with streaming systems like Kafka.</li>
<li>Exposure to infrastructure, DevOps, and Infrastructure as Code (IaaC), like Terraform.</li>
<li>Deep knowledge of distributed systems, storage, transactions, and query processing utilizing open-source distributed query engines like Trino (formerly PrestoSQL).</li>
<li>If you're passionate about data engineering and thrive in a dynamic startup environment, we'd love to hear from you!</li>
</ul></div><div><h3 class="jobSectionHeader">How We Take Care of You:</h3>
<ul><li>Competitive Salary &amp; Stock Options</li>
<li>Health Benefits</li>
<li>New Hire Home-Office Setup: One-time USD $500</li>
<li>Monthly Stipend: USD $150 per month via a Brex Card</li>
</ul>
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. 

Recruitment Privacy Policy</div></div>

Figma

<div>
 Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma&rsquo;s platform helps teams bring ideas to life&mdash;whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
 
 
 We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. You&rsquo;ll also work closely with stakeholders across business teams including sales, marketing, and finance to ensure that the data they need arrives promptly and reliably. You&rsquo;ll play an integral role in building the metrics and self-serve reporting capabilities to unlock Figma&rsquo;s next phase of growth.
 
 
 This is a great role for an individual who is passionate about working with data and data systems, and who loves solving problems. You&rsquo;ll have a good sense for when it makes sense to build fast, scrappy solutions to unblock a key stakeholder vs. when to push back or bring in an outside service. The ideal candidate will be a great communicator who can help coordinate across multiple internal and external teams and takes pride in building end-to-end projects.
 
 
 This is a full time role that can be held from one of our US hubs or remotely in the United States.
 
 
 
 What you'll do at Figma
 
 
 :
 
 
 
 <ul>
 <li>
 Own, build, and maintain scalable data pipelines that connect various cloud data sources.
 </li>
 <li>
 Develop a deep understanding of Figma&rsquo;s core data models and optimize data pipelines for scale.
 </li>
 <li>
 Partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self-service.
 </li>
 <li>
 Work with a wide range of cross-functional stakeholders to derive requirements and architect shared datasets; ability to document, simplify and explain complex problems to different types of audiences.
 </li>
 <li>
 Establish best practices for the development of specialized data sets for analytics and modeling.
 
 
 </li>
 </ul>
 We'd love to hear from you if you have:
 
 
 <ul>
 <li>
 4+ years in a relevant field.
 </li>
 <li>
 Fluency with both SQL and Python.
 </li>
 <li>
 Familiarity with Snowflake, dbt, Dagster, and ETL/reverse ETL tools.
 </li>
 <li>
 Excellent judgment and creative problem solving skills.
 </li>
 <li>
 A self-starting mindset along with strong communication and collaboration skills.
 
 
 </li>
 </ul>
 While not required, it&rsquo;s an added plus if you also have:
 
 
 <ul>
 <li>
 Knowledge in data modeling methodologies to design and build robust data architectures for insightful analytics.
 </li>
 <li>
 Experience with business systems such as Salesforce, Customer IO, Stripe, NetSuite is a big plus.
 
 
 </li>
 </ul>
 At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
 
 
 
 Pay Transparency Disclosure
 
 
 
 If based in Figma&rsquo;s San Francisco or New York hub offices, this role has the annual base salary range stated below.
 
 
 Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
 
 
 Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma&rsquo;s compensation and benefits are subject to change and may be modified in the future.
 
 
 Annual Base Salary Range:
 
 
 $140,000&mdash;$348,000 USD
 
 
 At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
 
 ,
 
 or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
 
 
 We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
 
 
 Examples of accommodations include but are not limited to:
 
 
 <ul>
 <li>
 Holding interviews in an accessible location
 </li>
 <li>
 Enabling closed captioning on video conferencing
 </li>
 <li>
 Ensuring all written communication be compatible with screen readers
 </li>
 <li>
 Changing the mode or format of interviews
 
 
 </li>
 </ul>
 To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
 
 
 By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
</div>

<div>The Opportunity 
 
As a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn&rsquo;t clear, using these moments as opportunities to grow. 
 
In this role within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights, enabling informed decision-making and driving business growth. By using a broad range of tools, methodologies, and techniques, you will generate new ideas and solve problems, contributing to the overall strategy and objectives of your projects. This position offers a chance to develop a deeper understanding of the business context and how it is evolving. 
 
Responsibilities 
 
<ul><li>Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis</li><li>Developing and maintaining data pipelines, integration, and transformation solutions to support client needs</li><li>Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities</li><li>Applying data architecture development and database management skills to optimize data solutions</li><li>Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management</li><li>Building and managing data lakes and warehouses to support large-scale data storage and retrieval</li><li>Confirming data quality and validation through rigorous testing and performance tuning</li><li>Collaborating with clients to understand their data requirements and deliver actionable insights</li><li>Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization</li><li>Implementing data security best practices to protect sensitive information and maintain compliance</li><li>Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing</li><li>Supporting the development of data strategies to drive business growth and informed decision-making</li></ul> 
What You Must Have 
 
<ul><li>At least a Bachelor's degree</li><li>At least 2 years of experience</li></ul> 
What Sets You Apart 
 
<ul><li>Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics</li><li>Demonstrating proficiency in data engineering platforms like Databricks</li><li>Utilizing cloud platforms such as AWS and Microsoft Azure</li><li>Excelling in data architecture development and data modeling</li><li>Implementing data pipeline and data integration strategies</li><li>Navigating complex data environments with Apache Hadoop and Airflow</li><li>Applying critical thinking to solve data-related challenges</li></ul> 
The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines 
 
#LI-Hybrid</div>

Data Engineer - Senior Associate

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