Remote Dev Jobs
6 jobs available
Sierra Business Solution LLC · 🇺🇸 United StatesRemote2w ago
Job Description: Synapse, Scala, SparkPySpark, SQL, Scope, CosmosADLS, Secondary and immediate skills Kusto Microsoft FabricOneLake
Sinclair Broadcast GroupRemote1mo ago
Headquarters: Austin, TX, United States URL: http://sbgi.net Description Location: United States (Remote) Reports to: SVP of Tech As the Sr. Principal Data Engineer, you will be the primary architect of Digital Remedy’s next-generation data platform. You won't just move data; you will design the blueprints for how we handle massive-scale AdTech telemetry. You will bridge the gap between business priorities and technical execution, ensuring our "Partner" integrations are scalable, cost-efficient, and resilient. Key Responsibilities Architectural Leadership: Design and oversee the migration/optimization of our data lakehouse architecture using Databricks. Production Excellence: Serve as the escalation point for the platform, leveraging a proven record of handling production issues to ensure 24/7 reliability of mission-critical pipelines. Strategic Capacity Planning: Work directly with the SVP of Tech to translate product roadmaps into technical requirements. This requires the ability to multi-task across various high-priority workstreams without losing sight of architectural integrity. Infrastructure as Code: Drive the adoption of Databricks Asset Bundles (DABs) to standardize deployments across dev, staging, and production. Mentorship & Governance: Provide high-level guidance to engineering squads in India and the US, defining schemas and governance models for BigQuery and Databricks. Work with engineers across multiple geographies and time zones. Mandatory Requirements Expert-Level Databricks: Minimum 4+ years of hands-on experience specifically within the Databricks ecosystem (Delta Lake, Unity Catalog, Photon). The Stack: Deep proficiency in Spark (PySpark/Scala), Python, and SQL. Experience with GCP (BigQuery) is a major plus. Scale: Proven experience managing petabyte-scale datasets and high-concurrency pipelines (AdTech experience preferred). Independent Execution: Must be a self-starter capable of taking a high-level concept from the SVP and driving it to comp
Rimini StreetRemote2mo ago
Headquarters: Remote Singapore URL: http://riministreet.com About Rimini Street, Inc. Rimini Street, Inc. (Nasdaq: RMNI), a Russell 2000® Company, is a proven, trusted global provider of end-to-end, mission-critical enterprise software support, managed services and innovative Agentic AI ERP solutions, and is the leading third-party support provider for Oracle, SAP and VMware software. Our comprehensive portfolio of unified solutions help run, manage, support, customize, configure, connect, protect, monitor, and optimize enterprise application, database and technology software, enabling our clients to achieve better business outcomes, significantly reduce costs and reallocate resources towards strategic projects. The Company has signed thousands of contracts with Fortune Global 100, Fortune 500, midmarket, public sector and government organizations who selected Rimini Street as their trusted, proven mission-critical enterprise software solutions provider and achieved better operational outcomes, realized billions of US dollars in savings and funded AI and other innovation investments. Position Summary Reporting to the VP, Innovation, Solution Delivery, the Forward Deployed Engineer (Agentic AI) embeds with enterprise clients to design, build and operationalize agentic AI solutions in production. You will build production outcomes for clients, integrate agentic systems with enterprise platforms and systems of record, and stay accountable through cutover, early production and handover to ongoing support. The role is platform-agnostic by design and adapts to whichever AI platform best fits the client, including hyperscale AI services, ServiceNow and other enterprise AI platforms. Essential Duties and Responsibilities Lead technical discovery, scope agentic AI use cases, and translate business problems into engineering deliverables with measurable success criteria such as cycle-time reduction, support deflection, automation rate, security and governance success rate and
jetbrains · 🇩🇪 Berlin, GermanyRemote57y ago
<p>At JetBrains, we care deeply about developer tools and the code-writing experience. The Scala plugin for IntelliJ IDEA helps developers work with Scala every day. Supporting that experience means understanding real-world development workflows, staying close to user needs, and continuously improving the tools developers rely on.</p> <p>We’re looking for a Technical Product Manager to help improve IntelliJ IDEA’s Scala support. This is a hands-on role focused on understanding developer needs and turning them into practical product improvements. You will work closely with engineers, experiment with modern Scala projects and tooling, analyze user feedback, investigate pain points in areas such as build systems, debugging, and code insight, and test ideas through prototypes and direct user interaction.</p> <p>Our goal is to provide developers with a reliable and productive environment for working with Scala and its ecosystem. We’re looking for someone who enjoys developer tools, understands technical trade-offs, and likes improving products through close collaboration with both users and engineers.</p> <h3><strong>In this role, you will:</strong></h3> <ul> <li>Own the product vision for the Scala plugin, ensuring it provides fast, correct, and trustworthy IDE support that evolves with the language.</li> <li>Analyze product usage statistics and run a consistent pipeline of user interviews to ground decisions in real workflows.</li> <li>Use IntelliJ IDEA with the Scala plugin daily – dogfooding features, catching regressions, and validating the developer experience first-hand.</li> <li>Maintain and develop reference projects that serve as showcases for new features, material for conference demos, and a living test bed for DX quality.</li> <li>Own and continuously adapt the plugin roadmap for short-term release goals, mid-term initiatives, and longer-term projects related to the Scala ecosystem.</li> <li>Align plugin planning with Scala compiler releases and IntelliJ IDE
Quantexa · 🇬🇧 London, United KingdomRemote57y ago
What we’re all about. Do you ever have the urge to do things better than the last time? We do. And it’s this urge that drives us every day. Our environment of discovery and innovation means we’re able to create deep and valuable relationships with our clients to create real change for them and their industries. It’s what got us here – and it’s what will make our future. At Quantexa, you’ll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all. Opportunity As a Software Engineer at Quantexa, you’ll play a key role in shaping one of the most critical components of our Decision Intelligence platform: Decision Systems. The Decision Systems team is responsible for turning complex, interconnected data into actionable insights — helping global organizations detect patterns, uncover risks, and make smarter decisions. You’ll work across the software stack, from enhancing our scoring capabilities to uncover financial crime, to building tools that make detection logic easier and more powerful for our users. Your work will directly influence how clients identify suspicious activity and protect their businesses. This isn’t just about coding, stakeholder management will be a growing focus of this role. You’ll have the autonomy to take features from concept to release, collaborating closely with product teams and delivery experts to design solutions that make a real impact. You’ll be part of a talented, supportive team that values innovation, knowledge sharing, and continuous improvement. The role is focused on software development using the latest in agentic AI tooling. Typical tasks in the team are: Building new tooling to allow users to configure detection logic more easily and effectively Enhancing the platform so that existing Scores can be applied across
Quantexa · 🇬🇧 London, United KingdomRemote57y ago
What we’re all about. It isn’t often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We’re a real team. Collaborating and constantly engineering better and better solutions. We’re ambitious, we think things through and we’re on a mission to discover just how far we can go. Nearly half of our colleagues come from an ethnic or religious minority background. We’re made up of people from 47 nationalities who speak over 20 languages. As a diverse mix of individuals, we make one big unstoppable team. If our incredible culture sounds like you, we’d love you to join us. What will you be doing? You’ll be joining the Applications team, which is an Engineering function within Quantexa’s R&D department that is focused on internally building real-world applications of the Quantexa Platform. This function enables demonstrations of the product and develops SaaS offerings, whilst also testing and refining new Platform features before they are deployed by clients. The function develops and releases its own tools that feed into these internal applications and are also packaged and released to help standardize and accelerate all Quantexa deployments. It encompasses four distinct sub-teams: Data Engineering Accelerators: Developing Quantexa’s libraries for cleansing, parsing and standardising data used in entity resolution Finding efficiency/performance improvements through big data testing and building performance tooling Owning best practices in entity resolution and network building Data Feeds: Building standardised and reusable code for processing various third party/open source data sets Managing an internal data lake for the provision of this data by other teams for testing and analytics Owning general best practices for in