data engineer – ai/ml data infrastructure

ai / ml engineer

cloud engineer

data analyst ii

data engineer (python & sql) Jobs in Boston

data engineer (python & sql)

data engineer – ai/ml data infrastructure Jobs in Boston

data engineer

Akkodis Group Nordics

<div>
 Akkodis is seeking a
 <strong>
  Data Engineer
 </strong>
 for a
 <strong>
  Contract
 </strong>
 with a client in
 <strong>
  O'Fallon, MO / Purchase, NY / Boston, MA.
 </strong>
 The ideal candidate is responsible for building secure, reliable, and scalable data pipelines across enterprise platforms.
 <br/>
 <br/>
 <strong>
  Rate Range:
 </strong>
 $53/hour to $64/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
 <br/>
 <br/>
 <strong>
  Data Engineer Job Responsibilities Include
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and develop complex, reusable data workflows using Apache Airflow for scheduling, orchestration, and monitoring of enterprise data pipelines.
  </li>
  <li>
   Build and optimize high‑volume data ingestion and streaming pipelines using Apache NiFi with custom processors and controller services.
  </li>
  <li>
   Develop and maintain large‑scale data processing jobs using Apache Spark and integrate them with Airflow and NiFi frameworks.
  </li>
  <li>
   Implement and manage object storage solutions using MinIO and AWS S3 to ensure data availability, durability, and performance.
  </li>
  <li>
   Secure data pipelines and platforms using SSL/TLS, mTLS, certificate management, IAM, and Java Keystores.
  </li>
  <li>
   Perform Linux/Unix system administration tasks, including environment setup, performance tuning, monitoring, troubleshooting, and automation via shell scripting.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, Engineering, or a related technical field preferred.
  </li>
  <li>
   6&ndash;8 years of experience in data engineering or large‑scale data platform development.
  </li>
  <li>
   Strong hands‑on expertise with Apache Airflow and Apache NiFi for orchestration, high‑volume data ingestion, and workflow automation.
  </li>
  <li>
   Proven experience with Spark, Java/Python, Linux environments, and secure cloud‑based data solutions using AWS S3, IAM, and certificate management.
   <br/>
   <br/>
  </li>
 </ul>
 If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at
 <strong>
  Deep.Kumar@
 </strong>
 <strong>
  akkodisgroup.com.
  <br/>
  <br/>
 </strong>
 <strong>
  Pay Details:
 </strong>
 $53.00 to $64.00 per hour
 <br/>
 <br/>
 Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
 <br/>
 <br/>
 Equal Opportunity Employer/Veterans/Disabled
 <br/>
 <br/>
 Military connected talent encouraged to apply
 <br/>
 <br/>
 To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
 <br/>
 <br/>
 <ul>
  <li>
   The California Fair Chance Act
  </li>
  <li>
   Los Angeles City Fair Chance Ordinance
  </li>
  <li>
   Los Angeles County Fair Chance Ordinance for Employers
  </li>
  <li>
   San Francisco Fair Chance Ordinance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Massachusetts Candidates Only:
 </strong>
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
</div>


Data Engineer

Data Engineer (Python & SQL)

Yogi Careers

<div>
 <strong>
  <strong>
   Overview:
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  We&rsquo;re looking for a Data Engineer to build and maintain the data infrastructure that powers machine learning initiatives. You&rsquo;ll work at the intersection of software engineering and data science.
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop and maintain feature stores and ML-ready datasets
  </li>
  <li>
   Automate data preprocessing pipelines for ML model training and evaluation
  </li>
  <li>
   Collaborate with ML engineers to enable scalable experimentation workflows
  </li>
  <li>
   Monitor and improve data reliability, lineage, and reproducibility
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Requirements:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   BS/MS in Computer Science, Data Engineering, or similar
  </li>
  <li>
   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Category:
 </strong>
 Data Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Job Location:
 </strong>
 Boston
 <br/>
 <br/>
 Apply for this position
 <br/>
 <br/>
 Full Name *
 <br/>
 <br/>
 Email *
 <br/>
 <br/>
 Phone *
 <br/>
 <br/>
 Cover Letter *
 <br/>
 <br/>
 Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docx
 <br/>
 <br/>
 By using this form you agree with the storage and handling of your data by this website. *
 <br/>
 <br/>
 <strong>
  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop and maintain feature stores and ML-ready datasets
  </li>
  <li>
   Automate data preprocessing pipelines for ML model training and evaluation
  </li>
  <li>
   Collaborate with ML engineers to enable scalable experimentation workflows
  </li>
  <li>
   Monitor and improve data reliability, lineage, and reproducibility
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Requirements:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   BS/MS in Computer Science, Data Engineering, or similar
  </li>
  <li>
   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Category:
 </strong>
 Data Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Job Location:
 </strong>
 Boston
 <br/>
 <br/>
 <strong>
  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop and maintain feature stores and ML-ready datasets
  </li>
  <li>
   Automate data preprocessing pipelines for ML model training and evaluation
  </li>
  <li>
   Collaborate with ML engineers to enable scalable experimentation workflows
  </li>
  <li>
   Monitor and improve data reliability, lineage, and reproducibility
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Requirements:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   BS/MS in Computer Science, Data Engineering, or similar
  </li>
  <li>
   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
  </li>
 </ul>
</div>


Data Engineer – AI/ML Data Infrastructure

State Street

<div><p>We are seeking an experienced <b>Officer‑level Senior Data Engineer</b> to design, build, and support modern cloud‑based data engineering solutions that enable analytics, reporting, and AI use cases for Sales and Business teams. This role focuses on hands‑on engineering with <b>AWS Cloud,Redshift, Databricks, Snowflake</b>, and modern data pipelines, ensuring high‑quality, secure, and scalable data platforms.</p><p></p><p>
The role requires strong ownership of technical components, independence in execution, and close collaboration with cross‑functional stakeholders while operating as a senior individual contributor.</p><p></p><p><b>
Job Description</b></p><p></p><p><b>
Key Responsibilities &amp; Experience Range</b></p><ul><li>
Design, develop, and support <b>end‑to‑end data pipelines</b> using cloud‑based platforms such as <b>AWS, Redshift ,Databricks, and Snowflake.</b></li><li>
Build scalable data ingestion, transformation, and validation frameworks using <b>Python, SQL, and Shell scripting</b></li><li>
Develop and optimize data pipelines for performance, reliability, and data quality</li><li>
Partner with product owners, analytics teams, and downstream consumers to translate business requirements into technical solutions</li><li>
Support <b>production stability</b>, incident resolution, and root‑cause analysis for data platforms</li><li>
Actively participate in architecture discussions, design reviews, and technical walkthroughs</li><li>
Follow <b>Agile delivery practices</b>, including sprint planning, estimation, and issue tracking using JIRA</li><li>
Ensure compliance with data security, governance, and SDLC standards</li><li>
Continuously identify opportunities to improve efficiency, automation, and platform capability</li><li>
Good Analytical skills to understand the business requirements and translate them into Technical specifications</li><li>
Good hands-on to AWS Data storage products like AWS S3 and Amazon Redshift.</li><li>
Ability to participate in major incident management, production stability, etc as and when required</li><li>
Good Exposure to code versioning tool GIT, Bitbucket and CI/CD Process and project collaboration platform JIRA</li><li>
Excellent verbal and written communication and should be able to work with all the stakeholders.</li><li>
Prior experience on working in Agile project management practices</li></ul><p></p><p><b>
Qualification &amp; Certifications</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
6&ndash;10 years of overall IT experience, with strong focus on <b>Data Engineering</b></li><li>
4+ years of hands‑on experience building data pipelines on <b>cloud platforms</b></li><li>
Proven experience working as a <b>senior data engineer/ETL expert</b> on complex technical problem statements</li><li>
Excellent communication and leadership skills.</li></ul><p></p><p><b>
Primary Skills (Must Have)</b></p><ul><li>
Proficient on designing ,developing and supporting Data pipelines with AWS S3,AWS Redshift, YAML Sripting ,Apache Airflow and Shell Scripting.</li><li>
Solid <b>AWS Cloud</b> experience, including EC2, <b>S3</b>, IAM, and cloud‑based data architectures</li><li>
Proficiency in <b>Python</b> for data engineering and automation</li><li>
Strong <b>SQL</b> skills for data analysis, validation, and performance tuning</li><li>
Experience writing and maintaining <b>Shell scripts</b> for automation and operational support</li><li>
Good understanding of <b>Data Warehousing, Data Lakes, and Data Quality concepts</b></li><li>
Ability to independently analyze requirements and deliver technical solutions</li></ul><p></p><p><b>
Secondary Skills (Good to Have)</b></p><ul><li>
Exposure on AWS Cloud Tech Stack for Data Engineering.</li><li>
Good to have hands on Databricks and Snowflake.</li><li>
Exposure to any financial/asset management domain or sales and marketing would be added advantage.</li><li>
Knowledge of networking fundamentals and key management services</li><li>
Exposure to Complete CI/CD Process for Deployment and Releases.</li><li>
Good understanding/hands-on of application of AI /ML in data engineering and data quality.</li></ul><p></p><p><b>
Salary Range:
</b></p>$70,000 - $118,750 Annual<p></p><p>
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.</p><p></p><p><i>
Employees are eligible to participate in State Street&rsquo;s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.</i></p><p><i>
For a full overview, visit </i><i>https://hrportal.ehr.com/statestreet/Home</i><i>.</i></p><p></p><h1 class="jobSectionHeader"><b>
About State Street</b></h1><p></p><p>
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.</p><p></p><p>
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you&rsquo;ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.</p><p></p><p>
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.</p><p></p><p>
Discover more information on jobs at StateStreet.com/careers</p><p></p><p>
Read our CEO Statement</p><p></p><p><b>
Job Application Disclosure:</b><b>
</b></p><p>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</p></div>

Senior Data Engineer - Cloud & Analytics, Officer - State Street Investment Management

Spaulding Rehabilitation Hospital

<div>Site: The Spaulding Rehabilitation Hospital Corporation<p></p><p><br>
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.</p><br>
<p></p>
We are seeking an exceptional Data Scientist to play a central analytic role in PREDDICT, a next-generation clinical and research program at Spaulding Rehabilitation. Focused on predicting, preventing, and improving long-term health and wellness outcomes across high-risk populations, PREDDICT brings together precision rehabilitation medicine, data science, and digital health to redefine how injury and recovery are understood and treated&mdash;extending not only lifespan, but HealthSpan, the period of life spent in good health.<br>
Rehabilitation settings care for people with life-changing injuries such as brain injury, stroke, burns, spinal cord injury, and limb loss. PREDDICT leverages electronic health records and advanced analytics, including machine learning, to infuse data-driven decision-making into care during a pivotal time in patients&rsquo; lives. The program integrates clinical care, longitudinal research, advanced analytics, and system-level implementation to move beyond siloed studies and toward scalable, real-world impact. This role will build the foundation of that mission.<br>
<br>
The Data Scientist will hold and grow expertise in the Mass General Brigham (MGB) electronic health record (EHR) including an understanding of key rehabilitation data elements, their location in the EHR, and documentation workflows. They will work closely with physician-scientists, clinical teams, research staff, and external partners to guide responsible data utilization throughout the lifecycle from extraction through visualization. It is an opportunity to help shape how complex clinical data are transformed into insight, prediction, and evidence that directly informs care delivery and long-term outcomes in rehabilitation and disability health.<br>
<br>
The Data Scientist will work in a highly matrixed environment, collaborating across the HealthSpan Lab, the Rehabilitation Outcomes Center at Spaulding, and MGB Digital.<br>
<br>
About the HealthSpan Lab:
<br>
The HealthSpan Lab is committed to advancing our understanding of lifelong health. We study the biological, behavioral, and environmental factors that influence healthy aging and long-term function. Our research aims to uncover early markers of decline, identify mechanisms of resilience, and develop interventions that can prevent disease before it begins. By generating evidence across systems and stages of life, we work to improve health outcomes and promote lifelong well-being.
<br>
<br>
About the Rehabilitation Outcomes Center at Spaulding (ROCS):<br>
The Rehabilitation Outcomes Center at Spaulding is a central hub for researchers, clinicians, and the broader rehabilitation community advancing data-powered care across the full rehabilitation journey&mdash;from hospital to home. ROCS offers robust infrastructure for collaboration among investigators, clinicians, and people with lived experience, supported by platforms such as podcasts and open scientific meetings. With an emphasis on Learning Health Systems, ROCS facilitates access to electronic health record analytics, standardized outcome measures, and implementation science expertise, while also offering mentorship and operational support to investigators through its established partnerships and training programs. We make rehab data smarter and better connected so care decisions are based on solid evidence and personalized to the individual. By bridging specialties and systems, we aim to reduce disparities and improve outcomes for people with disabilities&mdash;ensuring research translates into real-world impact.<br>
<br>
Specific responsibilities may include:<br>
<ul><li>Maintain and grow expertise on rehabilitation EHR data structure, storage and retrieval, and computing processes. Maintain working knowledge of clinical documentation workflows and informatics systems. Educate other team members on these functions.</li><li>Design and evaluate predictive models and advanced algorithms for rehabilitation recovery trajectories.</li><li>Design, build, and maintain reports and dashboards to convey data insights in real-world clinical and research settings. Ensure visualizations are tailored to meet the specific needs of the rehabilitation community in a Learning Health System framework.</li><li>Collaborate with researchers, clinicians, clinical informatics staff, and information systems analysts to design research studies.
</li><li>Draw conclusions or make predictions, based on data summaries or statistical analyses.</li></ul><p></p><p><b><br>
Job Summary</b></p>
Summary<br>
Responsible for analyzing data, uncovering the underlying data patterns and logic, and developing data-driven applications. They will work towards developing solutions for the entire problem-solving cycle: find/prioritize the problems, research the best algorithms to solve the problems, design robust, practical solvers, and implement them.<br>
<br>
Essential Functions<br>
<ul><li>Analyze complex and high-dimensional clinical and operational data for dependencies, patterns, outliers, inaccuracies, and validity.
</li></ul><br>
<ul><li>Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and/or advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries.
</li></ul><br>
<ul><li>Contribute to the design and evaluation of optimal data-driven metrics (such as physician/facility performance criteria, bottleneck metrics, productivity limits, processing delay/error reports, etc.).
</li></ul><br>
<ul><li>Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
</li></ul><br>
<ul><li>Generate and test hypotheses and analyze and interpret the results.</li></ul><p></p><div><div><div><div><div><div><div><p><b><br>
Qualifications</b></p></div></div></div></div></div></div></div><div>
Education<br>
Bachelor's Degree Related Field of Study required or Master's Degree Related Field of Study preferred<br>
<br>
Can this role accept experience in lieu of a degree?<br>
Yes<br>
<br>
Experience<br>
Experience working in data science-type positions and with large data sets 2-3 years preferred<br>
<br>
Knowledge, Skills and Abilities<br>
<ul><li>Ability to create reports and dashboards with Tableau.</li><li>Skilled in data analysis with Python and SQL.</li><li>Knowledge of statistics.</li><li>Knowledge of machine learning.</li><li>Preferred SQL database management and administrative knowledge.</li><li>Practiced knowledge of numerical optimization algorithms.</li></ul></div><p></p><div><div><div><div><div><div><div><p><b><br>
Additional Job Details (if applicable)</b></p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p><b><br>
Remote Type</b></p></div></div></div></div></div></div></div>
Hybrid<p></p><div><div><div><div><div><div><div><p><b><br>
Work Location</b></p></div></div></div></div></div></div></div>
300 First Avenue<p></p><div><div><div><div><div><div><div><p><b><br>
Scheduled Weekly Hours</b></p></div></div></div></div></div></div></div>
40<p></p><div><div><div><div><div><div><div><p><b><br>
Employee Type</b></p></div></div></div></div></div></div></div>
Regular<p></p><div><div><div><div><div><div><div><p><b><br>
Work Shift</b></p></div></div></div></div></div></div></div>
Day (United States of America)<p></p><p><b><br>
Pay Range</b></p>
$75,275.20 - $109,553.60/Annual<p></p><p><b><br>
Grade</b></p>
6<br>
<p></p>
At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.<p></p><div><div><div><div><div><div><div><p><b><br>
EEO Statement:</b></p></div></div></div></div></div></div></div>
1400 The Spaulding Rehabilitation Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran&rsquo;s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.<p></p><h2 class="jobSectionHeader"><b><br>
Mass General Brigham Competency Framework</b></h2><div><div><p>
At Mass General Brigham, our competency framework defines what effective leadership &ldquo;looks like&rdquo; by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.</p></div></div></div>

Data Scientist, PREDDICT Project

Data Scientist

adjoe

<div>
 <p>
  <strong>
   adjoe is redefining the future of mobile ads.
  </strong>
  Powered by advanced AI, first-party data and world-class engineers, we&rsquo;ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade &ndash; now the fastest growing rewarded advertising channel globally &ndash; driving incremental engagement, retention, and revenue. At the same time, we&rsquo;re breaking into programmatic advertising with the intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience &ndash; right now. Join us.
 </p>
 <br/>
 <p>
  <strong>
   Meet Your Team: Playtime Demand Solutions
   <br/>
  </strong>
  <br/>
  Playtime is a time- and event-based ad unit that continuously rewards users with in-app currency &ndash; for the time they spend and events completed while playing mobile games. We connect advertisers to 200+ million Playtime users and serve 2bn requests per day at low latency. We ensure that all parties involved have a positive experience. Advertisers get more users for their apps. Monetizers earn revenue for users on their platforms. Users play fun games while simultaneously getting rewarded.
 </p>
 <br/>
 What you will do:
 <br/>
 <ul>
  <br/>
  <li>
   <strong>
    Operations:
   </strong>
   Own the first line of technical knowledge for the fast-growing Americas unit, acting as the go-to person for Account Managers and Business stakeholders.
  </li>
  <br/>
  <li>
   <strong>
    Investigations:
   </strong>
   Use your analytical skills to diagnose, resolve, or prioritize technical and data-related issues from the region.
  </li>
  <br/>
  <li>
   <strong>
    Improvements:
   </strong>
   Identify high-impact opportunities to enhance data and operational processes, working closely with the broader Data team to drive regional improvements.
  </li>
  <br/>
  <li>
   <strong>
    Development:
   </strong>
   Contribute to better reporting, monitoring, and alerting systems for global operations.
  </li>
  <br/>
  <li>
   <strong>
    Learn:
   </strong>
   Share your knowledge and learn from others within a large, growing data team
  </li>
  <br/>
 </ul>
 <br/>
 Who you are:
 <br/>
 <ul>
  <br/>
  <li>
   2+ years of experience in a Data, AdOps, or BizOps-related role.
  </li>
  <br/>
  <li>
   Strong SQL skills (CTEs, joins, aggregations).
  </li>
  <br/>
  <li>
   Hands-on Python for data manipulation and automation.
  </li>
  <br/>
  <li>
   Familiarity with Power BI, Tableau, QuickSight, Streamlit, SuperSet, or similar.
  </li>
  <br/>
  <li>
   Comfortable showcasing technical skills live without LLM assistance.
  </li>
  <br/>
  <li>
   Plus: Background in AdTech or Mobile App analytics.
  </li>
  <br/>
  <li>
   Plus__:__ Experience working cross-functionally with both technical and business teams.
  </li>
  <br/>
  <li>
   Plus: Experience with alerting systems, API integrations, or Airflow/dbt.
  </li>
  <br/>
 </ul>
 <br/>
 Fuel for the Journey: Benefits to Support Your Ambitions:
 <br/>
 <ul>
  <br/>
  <li>
   <strong>
    Work-Life Package
   </strong>
   : 2 remote days per week, 26 vacation days, 4 personal days, and initially 10 sick days, flexible working hours, 3 remote weeks (1 week at a time), office in the heart of Boston.
  </li>
  <br/>
  <li>
   <strong>
    Future &amp; Financial Health Package
   </strong>
   : Comprehensive medical, dental, and vision plans as well as 401K match program
  </li>
  <br/>
  <li>
   <strong>
    Activity Package
   </strong>
   : Regular team and company events, bi-annual trips to HQ in Hamburg, Germany!
  </li>
  <br/>
  <li>
   <strong>
    Education Package
   </strong>
   : Opportunities to boost your professional development with courses and training directly connected to your career goals
  </li>
  <br/>
  <li>
   Free of charge access to our
   <strong>
    EAP
   </strong>
   (Employee Assistance Program) which is a counseling service designed to support your mental health and well-being
  </li>
 </ul>
</div>


Business Analyst

Explore 335+ Data engineer in Boston this May. Find roles across top companies and apply now to boost your career.